Bibliography of Studies About HL7® FHIR®
FHIR Publications by Year
Library data not found. Please refresh cache. Looking for: FHIR
Full FHIR Bibliography
4928801
7MQ854T6
1
national-library-of-medicine-grant-proposals
50
yes
100
date
desc
1
1
16201
https://danielvreeman.com/dv/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A950%2C%22request_next%22%3A50%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22RXIQKYUL%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Schmiedmayer%20et%20al.%22%2C%22parsedDate%22%3A%222026-08%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BSchmiedmayer%20P%2C%20Johnson%20A%2C%20Schuetz%20N%2C%20Kollmer%20L%2C%20Goldschmidt%20P%2C%20Delgado-SanMartin%20J%2C%20Zhang%20KW%2C%20Mantena%20SD%2C%20Tolas%20A%2C%20Montalvo%20S%2C%20Ramirez-Posada%20M%2C%20O%26amp%3B%23x2019%3BSullivan%20JW%2C%20Oppezzo%20M%2C%20King%20AC%2C%20Rodriguez%20F%2C%20Ashley%20E%2C%20Lawrie%20A%2C%20Kim%20DS.%20Design%20and%20rationale%20of%20the%20my%20heart%20counts%20cardiovascular%20health%20study%3A%20a%20large-scale%2C%20fully%20digital%20biobank%2C%20and%20randomized%20trial%20of%20large%20language%20model-driven%20coaching%20of%20physical%20activity.%20Am%20J%20Prev%20Cardiol.%202026%20Aug%3B28%3A101565.%20PMCID%3A%20PMC13325983%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DRXIQKYUL%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Design%20and%20rationale%20of%20the%20my%20heart%20counts%20cardiovascular%20health%20study%3A%20a%20large-scale%2C%20fully%20digital%20biobank%2C%20and%20randomized%20trial%20of%20large%20language%20model-driven%20coaching%20of%20physical%20activity%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Paul%22%2C%22lastName%22%3A%22Schmiedmayer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anders%22%2C%22lastName%22%3A%22Johnson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Narayan%22%2C%22lastName%22%3A%22Schuetz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lukas%22%2C%22lastName%22%3A%22Kollmer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Paul%22%2C%22lastName%22%3A%22Goldschmidt%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Juan%22%2C%22lastName%22%3A%22Delgado-SanMartin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kelly%20W.%22%2C%22lastName%22%3A%22Zhang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sriya%20D.%22%2C%22lastName%22%3A%22Mantena%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexander%22%2C%22lastName%22%3A%22Tolas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Samuel%22%2C%22lastName%22%3A%22Montalvo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mariana%22%2C%22lastName%22%3A%22Ramirez-Posada%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jack%20W.%22%2C%22lastName%22%3A%22O%27Sullivan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marily%22%2C%22lastName%22%3A%22Oppezzo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Abby%20C.%22%2C%22lastName%22%3A%22King%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fatima%22%2C%22lastName%22%3A%22Rodriguez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Euan%22%2C%22lastName%22%3A%22Ashley%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Allan%22%2C%22lastName%22%3A%22Lawrie%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20Seung%22%2C%22lastName%22%3A%22Kim%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20Cardiovascular%20disease%20remains%20the%20leading%20cause%20of%20global%20morbidity%20and%20mortality.%20The%20original%20My%20Heart%20Counts%20smartphone%20application%20demonstrated%20the%20feasibility%20of%20large-scale%2C%20fully%20digital%20recruitment%20and%20trial%20conduct%2C%20but%20was%20limited%20by%20platform%20exclusivity%20and%20the%20need%20for%20human%20experts%20to%20create%20text-based%20behavioral%20interventions.%5CnMETHODS%3A%20The%20next-generation%20My%20Heart%20Counts%20smartphone%20application%20is%20a%20prospective%2C%20observational%20cohort%20study%20with%20an%20embedded%20randomized%20crossover%20trial%2C%20evaluating%20personalized%20text-based%20coaching%20prompts%2C%20available%20in%20both%20English%20and%20Spanish.%20All%20study%20and%20trial%20operations%20will%20be%20conducted%20via%20the%20My%20Heart%20Counts%20smartphone%20application%2C%20re-designed%20using%20the%20open-source%20Stanford%20Spezi%20framework%20to%20support%20iOS%2C%20with%20a%20planned%20Android%20release%20in%202027.%20The%20target%20enrollment%20is%20N%20%3D%2015%2C000%20adults%20across%20the%20United%20States%20and%20United%20Kingdom.%20The%20study%20establishes%20a%20comprehensive%20digital%20biobank%20by%20synthesizing%20passive%20mobile%20health%20data%20%28steps%2C%20flights%20climbed%2C%20heart%20rate%2C%20sleep%2C%20workouts%29%2C%20raw%20sensor%20data%20%28e.g.%2C%20accelerometry%29%2C%20longitudinal%20clinical%20surveys%2C%20active%20tasks%20%286-minute%20walk%20test%20and%2012-minute%20Cooper%20run%20test%29%2C%20electrocardiograms%20%28ECG%29%2C%20and%20electronic%20health%20record%20%28EHR%29%20data%20integrated%20via%20HL7%20FHIR%20protocols.%20The%20embedded%20trial%20evaluates%20the%20effect%20of%20text-based%20coaching%20prompts%20generated%20by%20a%20large%20language%20model%20%28LLM%29%20grounded%20in%20the%20Transtheoretical%20Model%20of%20Change%20on%20daily%20physical%20activity%2C%20as%20compared%20to%20generic%20prompts.%5CnPLANNED%20ANALYSIS%3A%20The%20primary%20endpoint%20of%20the%20randomized%20crossover%20trial%20is%20change%20in%20daily%20step%20count%20between%20LLM-driven%20and%20generic%20text-based%20intervention%20arms%2C%20analyzed%20using%20mixed-effects%20models.%20Secondary%20endpoints%20include%20change%20in%20mean%20active%20minutes%20and%20calorie%20burn%20over%20each%20intervention%20week.%20Other%20exploratory%20analyses%20include%20the%20changes%20in%20submaximal%20%286-minute%20walk%20test%29%20and%20maximal%20%28Cooper%2012-minute%20run%20test%29%20cardiorespiratory%20fitness%2C%20changes%20to%20sensor-derived%20biomarkers%20%28e.g.%2C%20sleep%20quality%2C%20resting%20heart%20rate%2C%20and%20heart%20rate%20variability%29%2C%20and%20association%20of%20sensor-derived%20biomarkers%20with%20EHR-confirmed%20clinical%20outcomes.%5CnCONCLUSIONS%3A%20By%20utilizing%20autonomous%2C%20LLM-driven%20coaching%2C%20modular%20software%20design%2C%20and%20cross-platform%20accessibility%2C%20our%20smartphone%20application-based%20study%20will%20provide%20a%20scalable%20model%20for%20inclusive%20and%20decentralized%20preventive%20care%20of%20patients%20with%20cardiovascular%20disease.%5CnTRIAL%20STATUS%3A%20Recruitment%20commenced%20in%20March%202026%20and%20is%20ongoing.%22%2C%22date%22%3A%222026-08%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1016%2Fj.ajpc.2026.101565%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242395096%22%2C%22PMCID%22%3A%22PMC13325983%22%2C%22ISSN%22%3A%222666-6677%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-07-06T12%3A34%3A48Z%22%7D%7D%2C%7B%22key%22%3A%22MDJCGBLZ%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Ery%C4%B1lmaz%20et%20al.%22%2C%22parsedDate%22%3A%222026-07-02%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BEry%26amp%3B%23x131%3Blmaz%20B%2C%20Arzideh%20K%2C%20Bahn%20M%2C%20Damm%20H%2C%20Warmer%20S%2C%20Sch%26amp%3B%23xE4%3Bfer%20H%2C%20Idrissi-Yaghir%20A%2C%20Pakull%20TMG%2C%20Albrecht%20LJ%2C%20Kleesiek%20J%2C%20Lodde%20G%2C%20Friedrich%20CM%2C%20Livingstone%20E%2C%20Schadendorf%20D%2C%20Borys%20K%2C%20Nensa%20F%2C%20Hosch%20R.%20Extracting%20Medical%20Information%20From%20Unstructured%20Clinical%20Text%20Using%20Large%20Language%20Models%20to%20Enhance%20Health%20Care%20Interoperability%3A%20Proof-of-Concept%20Study.%20J%20Med%20Internet%20Res.%202026%20July%202%3B28%3Ae92413.%20PMCID%3A%20PMC13325620%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DMDJCGBLZ%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Extracting%20Medical%20Information%20From%20Unstructured%20Clinical%20Text%20Using%20Large%20Language%20Models%20to%20Enhance%20Health%20Care%20Interoperability%3A%20Proof-of-Concept%20Study%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bahad%C4%B1r%22%2C%22lastName%22%3A%22Ery%C4%B1lmaz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kamyar%22%2C%22lastName%22%3A%22Arzideh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mikel%22%2C%22lastName%22%3A%22Bahn%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Hendrik%22%2C%22lastName%22%3A%22Damm%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sina%22%2C%22lastName%22%3A%22Warmer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sch%C3%A4fer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ahmad%22%2C%22lastName%22%3A%22Idrissi-Yaghir%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tabea%20M.%20G.%22%2C%22lastName%22%3A%22Pakull%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lea%20Jessica%22%2C%22lastName%22%3A%22Albrecht%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jens%22%2C%22lastName%22%3A%22Kleesiek%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Georg%22%2C%22lastName%22%3A%22Lodde%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christoph%20M.%22%2C%22lastName%22%3A%22Friedrich%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elisabeth%22%2C%22lastName%22%3A%22Livingstone%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dirk%22%2C%22lastName%22%3A%22Schadendorf%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Katarzyna%22%2C%22lastName%22%3A%22Borys%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Felix%22%2C%22lastName%22%3A%22Nensa%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ren%C3%A9%22%2C%22lastName%22%3A%22Hosch%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20Unstructured%20clinical%20text%20remains%20a%20major%20barrier%20to%20interoperable%20data%20reuse%20and%20large-scale%20secondary%20analysis%20in%20health%20care.%20Large%20language%20models%20%28LLMs%29%20have%20the%20potential%20to%20automate%20the%20extraction%20of%20structured%20clinical%20information%3B%20however%2C%20their%20application%20is%20limited%20by%20the%20scarcity%20of%20high-quality%20annotated%20training%20data.%5CnOBJECTIVE%3A%20To%20address%20these%20limitations%2C%20this%20study%20aims%20to%20develop%20and%20validate%20a%20scalable%2C%20privacy-preserving%20framework%20that%20uses%20synthetic%20data%20generated%20from%20structured%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29%20to%20fine-tune%20open-source%20LLMs%20for%20the%20effective%20extraction%20of%20interoperable%20clinical%20information%20from%20unstructured%20text.%5CnMETHODS%3A%20We%20evaluated%20an%20LLM-based%20framework%20for%20extracting%20structured%20clinical%20information%20from%20cancer-related%20discharge%20letters%20and%20mapping%20it%20to%20representations%20compatible%20with%20FHIR.%20To%20enable%20large-scale%20supervised%20training%2C%20we%20developed%20a%20random%20sample%20generator%20that%20creates%20synthetic%20discharge%20letters%20using%20Qwen3-235B%20by%20randomly%20sampling%20and%20aggregating%20structured%20FHIR%20data%20from%2041%2C175%20patients%20with%20cancer.%20The%20resulting%20synthetic%20discharge%20letters%20%28n%3D75%2C000%29%20were%20paired%20with%20their%20originating%20structured%20data%2C%20forming%20a%20large-scale%20dataset%20for%20fine-tuning%20MedGemma%2027B%2C%20a%2027-billion-parameter%20medical%20language%20model.%20Evaluation%20was%20conducted%20on%20the%20synthetic%20test%20dataset%20%28n%3D7500%29%2C%20real-world%20discharge%20letters%20%28n%3D30%29%2C%20which%20were%20evaluated%20by%20physicians%20and%20a%20medical%20student%2C%20and%20a%20comparative%20one-shot%20approach%20using%20open-source%20models%20%28Qwen3%2C%20LLaMA%2C%20and%20GPT-OSS%29.%5CnRESULTS%3A%20The%20fine-tuned%20model%20achieved%20high%20extraction%20performance%20across%20multiple%20clinical%20entities%20on%20the%20synthetic%20test%20set%2C%20with%20F1-scores%20of%200.84%20for%20full%20International%20Classification%20of%20Diseases%20diagnosis%20codes%2C%200.99%20for%20tumor-related%20information%2C%200.99%20for%20laboratory%20values%2C%200.99%20for%20medication%20names%20and%20dosages%2C%20and%200.94%20for%20Anatomical%20Therapeutic%20Chemical%20medication%20codes.%20The%20extraction%20of%20procedure-related%20information%20was%20more%20challenging%2C%20with%20F1-scores%20of%200.63%20for%20OPS%20codes%20and%200.90%20for%20procedure%20descriptions.%20The%20fine-tuned%20model%20consistently%20outperformed%20general-purpose%20LLMs%20in%20a%20one-shot%20comparison%20across%20nearly%20all%20extraction%20categories.%20When%20evaluated%20by%20physicians%20on%20real-world%20discharge%20letters%2C%20the%20model%20achieved%20case-level%20correctness%20rates%20of%2078.9%25%20for%20International%20Classification%20of%20Diseases%20diagnoses%2C%2086.1%25%20for%20tumor-related%20information%2C%2093.0%25%20for%20medications%2C%20and%2061.3%25%20for%20procedures.%5CnCONCLUSIONS%3A%20These%20results%20demonstrate%20that%20synthetic%20text%20generation%20from%20structured%20clinical%20data%20enables%20the%20effective%20and%20scalable%20training%20of%20LLMs%20for%20extracting%20interoperable%2C%20multientity%20clinical%20information%20from%20unstructured%20documentation.%22%2C%22date%22%3A%222026-07-02%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.2196%2F92413%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242390385%22%2C%22PMCID%22%3A%22PMC13325620%22%2C%22ISSN%22%3A%221438-8871%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-07-06T12%3A36%3A14Z%22%7D%7D%2C%7B%22key%22%3A%22RZJV593H%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Jouned%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-29%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BJouned%20A%2C%20Kappel%20E%2C%20Schubert%20M%2C%20Katsch%20F%2C%20Duftschmid%20G.%20SyntheaWeb%3A%20A%20Web-Based%20Platform%20for%20the%20Generation%20and%20Interactive%20Inspection%20of%20Synthetic%20Healthcare%20Data.%20Stud%20Health%20Technol%20Inform.%202026%20June%2029%3B338%3A1%26amp%3B%23x2013%3B5.%20PMID%3A%2042393946%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DRZJV593H%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22SyntheaWeb%3A%20A%20Web-Based%20Platform%20for%20the%20Generation%20and%20Interactive%20Inspection%20of%20Synthetic%20Healthcare%20Data%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Adnan%22%2C%22lastName%22%3A%22Jouned%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elena%22%2C%22lastName%22%3A%22Kappel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maximilian%22%2C%22lastName%22%3A%22Schubert%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Florian%22%2C%22lastName%22%3A%22Katsch%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Georg%22%2C%22lastName%22%3A%22Duftschmid%22%7D%5D%2C%22abstractNote%22%3A%22Access%20to%20real-world%20healthcare%20data%20is%20increasingly%20hindered%20by%20privacy%20concerns%20and%20stringent%20legal%20frameworks%2C%20including%20the%20General%20Data%20Protection%20Regulation%20%28GDPR%29%20and%20the%20Health%20Insurance%20Portability%20and%20Accountability%20Act%20%28HIPAA%29.%20Consequently%2C%20synthetic%20healthcare%20data%20generators%2C%20notably%20Synthea%E2%84%A2%2C%20have%20emerged%20as%20essential%20tools%20to%20generate%20high-quality%20datasets%20with%20minimal%20privacy%20and%20legal%20concerns.%20However%2C%20many%20simulation%20engines%20including%2C%20Synthea%E2%84%A2%2C%20predominantly%20rely%20on%20command-line%20interfaces%20%28CLI%29%2C%20imposing%20significant%20technical%20barriers%20for%20clinical%20researchers.%20Furthermore%2C%20raw%20output%20formats%20such%20as%20HL7%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29%20JSON%20create%20a%20substantial%20%26quot%3Binterpretability%20gap%26quot%3B%20for%20end-users.%20To%20address%20these%20challenges%2C%20we%20present%20SyntheaWeb%2C%20a%20web-based%20platform%20that%20simplifies%20the%20generation%20and%20interactive%20inspection%20of%20synthetic%20patient%20cohorts.%20It%20provides%20a%20user%20interface%2C%20visual%20cohort%20dashboard%2C%20structured%20longitudinal%20patient%20records%2C%20semantic%20terminology%20linking%20%28e.g.%2C%20SNOMED%20CT%2C%20LOINC%29%2C%20and%20the%20capability%20for%20selective%20subset%20export.%22%2C%22date%22%3A%222026-06-29%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260784%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242393946%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-07-06T12%3A36%3A06Z%22%7D%7D%2C%7B%22key%22%3A%22LFUK5LXZ%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Priya%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-29%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BPriya%20V%2C%20Sedlmayr%20M%2C%20Henke%20E.%20Towards%20Data%20Quality%20Assessment%20and%20Standardized%20Representability%20of%20German%20Healthcare%20Claims%20Data%20for%20Secondary%20Use.%20Stud%20Health%20Technol%20Inform.%202026%20June%2029%3B338%3A16%26amp%3B%23x2013%3B20.%20PMID%3A%2042393949%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DLFUK5LXZ%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Towards%20Data%20Quality%20Assessment%20and%20Standardized%20Representability%20of%20German%20Healthcare%20Claims%20Data%20for%20Secondary%20Use%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vishnu%22%2C%22lastName%22%3A%22Priya%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Martin%22%2C%22lastName%22%3A%22Sedlmayr%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elisa%22%2C%22lastName%22%3A%22Henke%22%7D%5D%2C%22abstractNote%22%3A%22German%20statutory%20health%20insurance%20%28SHI%29%20claims%20data%20are%20a%20major%20external%20data%20source%20for%20health%20research%2C%20enabling%20population-wide%20real-world%20evidence%20%28RWE%29%20across%20sectors.%20Their%20full%20potential%20is%20particularly%20relevant%20in%20federated%20healthcare%20research%20infrastructures%2C%20where%20linkage%20with%20clinically%20generated%20data%20may%20support%20more%20comprehensive%20and%20longitudinal%20analyses.%20However%2C%20routine%20claims%20data%20are%20collected%20primarily%20for%20reimbursement%20rather%20than%20research%2C%20and%20their%20reuse%20in%20such%20infrastructures%20requires%20systematic%20assessment%20of%20data%20suitability%2C%20particularly%20through%20the%20assessment%20of%20data%20quality%20and%20standardized%20representability.%20This%20work%20therefore%20presents%20a%20methodological%20concept%20to%20%28i%29%20develop%20a%20claims-specific%20data%20quality%20assessment%20%28DQA%29%20approach%20by%20synthesizing%20data%20quality%20challenges%20reported%20across%20diverse%20claims-based%20settings%20in%20the%20literature%20and%20operationalizing%20them%20through%20a%20rule-based%20validation%20pipeline%20for%20incoming%20claims%20data%20and%20%28ii%29%20assess%20the%20structural%20representability%20of%20SHI%20data%20elements%20in%20standardized%20HL7%20FHIR%20profiles%20for%20enhancing%20structural%20interoperability.%20Expected%20outcomes%20include%20a%20healthcare%20claims%20data-specific%20catalog%20of%20data%20quality%20issues%2C%20evidence-informed%20validations%2C%20a%20mapping%20coverage%20analysis%2C%20and%20the%20identification%20of%20representational%20gaps.%20This%20proposed%20concept%20provides%20a%20structural%20methodological%20basis%20for%20assessing%20German%20SHI%20claims%20data%20suitability%20and%20may%20support%20future%20harmonization%2C%20linkage%2C%20and%20secondary%20use%20of%20claims%20data.%22%2C%22date%22%3A%222026-06-29%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260787%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242393949%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-07-06T12%3A35%3A58Z%22%7D%7D%2C%7B%22key%22%3A%22JRR8C6CS%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Kimura%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-29%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BKimura%20E%2C%20Takahashi%20T%2C%20Sawada%20S.%20Bridging%20Fragmented%20PHR%20Ecosystems%20Through%20a%20Unified%20Document%20Terminology.%20Stud%20Health%20Technol%20Inform.%202026%20June%2029%3B338%3A140%26amp%3B%23x2013%3B141.%20PMID%3A%2042393977%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DJRR8C6CS%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Bridging%20Fragmented%20PHR%20Ecosystems%20Through%20a%20Unified%20Document%20Terminology%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Eizen%22%2C%22lastName%22%3A%22Kimura%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tsubasa%22%2C%22lastName%22%3A%22Takahashi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Saori%22%2C%22lastName%22%3A%22Sawada%22%7D%5D%2C%22abstractNote%22%3A%22Japan%26apos%3Bs%20PHR%20landscape%20is%20fragmented%20across%20private%20vendors%2C%20hindering%20data%20portability.%20In%20the%20PHOENICS%20project%2C%20we%20addressed%20this%20by%20adopting%20FHIR%20Storage%20to%20exchange%20health%20data.%20We%20identified%2030%20document%20types%3B%20half%20lacked%20internal%20metadata%20for%20schema%20and%20versioning.%20We%20set%20up%20a%20FHIR%20CodeSystem%20naming%20method%20to%20enable%20document%20parsers%20to%20programmatically%20identify%20document%20types.%20Our%20findings%20highlight%20the%20need%20for%20stakeholders%20to%20keep%20a%20central%20registry%20for%20the%20metadata%20uniquely%20identifiable%20for%20automated%20document%20routing.%22%2C%22date%22%3A%222026-06-29%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260815%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242393977%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-07-06T12%3A35%3A51Z%22%7D%7D%2C%7B%22key%22%3A%22Z55SG337%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Toppm%C3%B6ller%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-29%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BToppm%26amp%3B%23xF6%3Bller%20M%2C%20Steinhagen%20B%2C%20Albrecht%20UV.%20Integrating%20Seismocardiographic%20Signals%20into%20Standardized%20Interfaces%20to%20Merge%20into%20the%20European%20Health%20Data%20Space%20%28EHDS%29.%20Stud%20Health%20Technol%20Inform.%202026%20June%2029%3B338%3A196%26amp%3B%23x2013%3B200.%20PMID%3A%2042393990%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DZ55SG337%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Integrating%20Seismocardiographic%20Signals%20into%20Standardized%20Interfaces%20to%20Merge%20into%20the%20European%20Health%20Data%20Space%20%28EHDS%29%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Moritz%22%2C%22lastName%22%3A%22Toppm%C3%B6ller%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bastian%22%2C%22lastName%22%3A%22Steinhagen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Urs-Vito%22%2C%22lastName%22%3A%22Albrecht%22%7D%5D%2C%22abstractNote%22%3A%22Integrating%20seismocardiographic%20%28SCG%29%20signals%20into%20standardized%20interfaces%20is%20an%20important%20step%20towards%20enabling%20their%20interoperability%20into%20the%20EHDS.%20This%20study%20examines%20established%20health%20data%20standards%20that%20meet%20the%20EHDS%20regulations%20and%20enable%20the%20integration%20of%20SCG%20signals%20and%20vital%20signs.%20Included%20standards%20are%20HL7%20FHIR%2C%20openEHR%2C%20ISO%2FIEEE%2011073%2C%20IHE%2C%20and%20DICOM.%20Each%20standard%20is%20assessed%20based%20on%20its%20compatibility%20with%20the%20EHDS%2C%20its%20support%20for%20raw%20SCG%20recordings%20alongside%20vital%20signs%2C%20and%20its%20ease%20of%20implementation%20in%20the%20SArES%20project%20app%20%5B1%5D.%20The%20results%20indicate%20that%20HL7%20FHIR%20is%20the%20most%20suitable%20standard%20for%20integrating%20SCG%20signals%20into%20EHDS-compatible%20Health%20Information%20Systems%20%28HIS%29%20due%20to%20its%20REST-based%20architecture%2C%20extensibility%20through%20profiles%2C%20and%20widespread%20adoption.%20It%20also%20suggests%20that%20future%20work%20should%20validate%20interoperability%20with%20clinical%20information%20systems%20and%20SCG%20recording%20apps%2C%20such%20as%20SArES%2C%20to%20prepare%20SCG%20as%20a%20future%20health-relevant%20data%20source.%22%2C%22date%22%3A%222026-06-29%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260828%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242393990%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-07-06T12%3A35%3A44Z%22%7D%7D%2C%7B%22key%22%3A%222N9SHU7J%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Ladas%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-29%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BLadas%20N%2C%20Franz%20S%2C%20Ballout%20S%2C%20Rietschel%20MP%2C%20Marschollek%20M%2C%20Gietzelt%20M.%20CAS2FHIR%3A%20Transforming%20UIMA%20CAS%20Annotations%20to%20FHIR%20Bundles.%20Stud%20Health%20Technol%20Inform.%202026%20June%2029%3B338%3A569%26amp%3B%23x2013%3B573.%20PMID%3A%2042394070%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D2N9SHU7J%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22CAS2FHIR%3A%20Transforming%20UIMA%20CAS%20Annotations%20to%20FHIR%20Bundles%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nektarios%22%2C%22lastName%22%3A%22Ladas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefan%22%2C%22lastName%22%3A%22Franz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sarah%22%2C%22lastName%22%3A%22Ballout%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Merlin-Puck%22%2C%22lastName%22%3A%22Rietschel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%22%2C%22lastName%22%3A%22Marschollek%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Matthias%22%2C%22lastName%22%3A%22Gietzelt%22%7D%5D%2C%22abstractNote%22%3A%22In%20our%20location%2C%20we%20have%20clinical%20data%20in%20various%20formats.%20Some%20of%20them%20are%20either%20unstructured%20or%20semi-structured.%20While%20they%20contain%20valuable%20information%2C%20to%20be%20able%20to%20use%20it%20further%20for%20research%2C%20we%20have%20to%20convert%20them%20into%20an%20interoperable%20standard%2C%20like%20FHIR.%20We%20have%20developed%20a%20tool%20that%20can%20map%20and%20create%20FHIR%20resources%20or%20bundles%20directly%20from%20the%20results%20of%20the%20Information%20Extraction%20pipeline.%20This%20is%20based%20on%20a%20scripting%20language%20that%20dynamically%20invokes%20runtime%20API%20methods%20to%20create%20FHIR%20data.%20We%20successfully%20transformed%2013%2C240%20FHIR%20resources%20into%20bundles.%22%2C%22date%22%3A%222026-06-29%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260908%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242394070%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-07-06T12%3A35%3A24Z%22%7D%7D%2C%7B%22key%22%3A%22JXT5JII5%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Hauptfeld%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-29%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BHauptfeld%20L%2C%20Csarmann%20A%2C%20Grob%20M%2C%20Liepold%20J%2C%20Rappelsberger%20A%2C%20Adlassnig%20KP.%20Ask%20Not%20What%20Your%20Server%20Can%20Do%20For%20You%3A%20A%20Fast%20Query%20Compatibility%20Strategy%20for%20Navigating%20FHIR%20Implementation%20Gaps.%20Stud%20Health%20Technol%20Inform.%202026%20June%2029%3B338%3A658%26amp%3B%23x2013%3B662.%20PMID%3A%2042394089%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DJXT5JII5%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Ask%20Not%20What%20Your%20Server%20Can%20Do%20For%20You%3A%20A%20Fast%20Query%20Compatibility%20Strategy%20for%20Navigating%20FHIR%20Implementation%20Gaps%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Leonhard%22%2C%22lastName%22%3A%22Hauptfeld%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andreas%22%2C%22lastName%22%3A%22Csarmann%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Moritz%22%2C%22lastName%22%3A%22Grob%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julia%22%2C%22lastName%22%3A%22Liepold%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrea%22%2C%22lastName%22%3A%22Rappelsberger%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Klaus-Peter%22%2C%22lastName%22%3A%22Adlassnig%22%7D%5D%2C%22abstractNote%22%3A%22The%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29%20standard%20aims%20to%20improve%20clinical%20data%20interoperability%2C%20but%20real-world%20implementations%20often%20fall%20short%20of%20full%20compliance%2C%20creating%20significant%20deployment%20hurdles.%20A%20tiered%20compatibility%20strategy%20for%20Momo%2C%20a%20clinical%20microbiology%20software%2C%20is%20presented%20to%20circumvent%20these%20server-side%20limitations.%20The%20strategy%20utilizes%20an%20adaptive%20query%20framework%20featuring%20three%20search%20resolvers%20%28Basic%2C%20Advanced%2C%20and%20Full%29%20tailored%20to%20a%20target%20server%26apos%3Bs%20specific%20capabilities.%20This%20approach%20was%20evaluated%20during%20a%20pilot%20integration%20with%20an%20institution%26apos%3Bs%20severely%20restricted%20FHIR%20server.%20Despite%20missing%20resources%20and%20minimal%20query%20parameters%2C%20the%20adaptive%20framework%20enabled%20successful%20operational%20deployment%20in%20just%20two%20weeks%2C%20requiring%20only%2052%20person-hours%20of%20custom%20development%20and%20minimal%20institutional%20coordination.%20Integration%20time%20can%20be%20effectively%20reduced%20through%20this%20approach%2C%20though%20restrictions%20in%20system%20functionality%20show%20that%20availability%20of%20search%20parameters%20remains%20essential.%22%2C%22date%22%3A%222026-06-29%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260927%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242394089%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-07-06T12%3A35%3A14Z%22%7D%7D%2C%7B%22key%22%3A%223LGG5IIN%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Abedian%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-29%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BAbedian%20S%2C%20Bosc%26amp%3B%23xE1%3B%20D%2C%20Kohler%20S.%20Interoperability-Driven%20Digital%20Twins%20in%20Healthcare%3A%20A%20Conceptual%20and%20Technical%20Analysis%20of%20FHIR%2C%20openEHR%2C%20and%20OMOP.%20Stud%20Health%20Technol%20Inform.%202026%20June%2029%3B338%3A668%26amp%3B%23x2013%3B672.%20PMID%3A%2042394091%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D3LGG5IIN%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Interoperability-Driven%20Digital%20Twins%20in%20Healthcare%3A%20A%20Conceptual%20and%20Technical%20Analysis%20of%20FHIR%2C%20openEHR%2C%20and%20OMOP%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Somayeh%22%2C%22lastName%22%3A%22Abedian%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Diego%22%2C%22lastName%22%3A%22Bosc%C3%A1%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Severin%22%2C%22lastName%22%3A%22Kohler%22%7D%5D%2C%22abstractNote%22%3A%22Digital%20Twins%20%28DTs%29%20are%20gaining%20attention%20as%20a%20promising%20approach%20for%20next-generation%20healthcare%20systems.%20However%2C%20their%20real-world%20adoption%20remains%20limited%2C%20mainly%20due%20to%20fragmented%20data%20environments%20and%20a%20lack%20of%20effective%20interoperability%20across%20clinical%20systems.%20Although%20much%20of%20the%20current%20research%20focuses%20on%20modeling%20and%20advanced%20analytics%2C%20the%20role%20of%20interoperability%20as%20a%20structural%20enabler%20has%20received%20less%20attention.%20This%20paper%20examines%20interoperability%20as%20a%20core%20requirement%20for%20healthcare%20DTs.%20It%20considers%20how%20three%20commonly%20used%20standards%2C%20HL7%20FHIR%2C%20openEHR%2C%20and%20the%20OHDSI%20OMOP%20Common%20Data%20Model%2C%20support%20different%20needs%20across%20the%20DT%20lifecycle%2C%20including%20data%20exchange%2C%20semantic%20representation%2C%20and%20data%20reuse%20for%20analysis.%20Each%20of%20these%20standards%20is%20effective%20in%20specific%20contexts.%20OMOP%2C%20for%20instance%2C%20is%20widely%20used%20for%20cohort%20studies%2C%20openEHR%20supports%20structured%20longitudinal%20records%2C%20and%20FHIR%20is%20effective%20for%20system%20integration%20and%20data%20exchange.%20However%2C%20developing%20more%20complete%20DT%20solutions%20requires%20coordinating%20these%20complementary%20capabilities.%20The%20paper%20takes%20a%20lifecycle-and%20role-based%20view%2C%20suggesting%20that%20DTs%20are%20better%20understood%20as%20the%20result%20of%20coordinated%20data%20infrastructures%20rather%20than%20standalone%20systems.%20This%20lifecycle%20framework%20provides%20actionable%20guidance%20for%20scalable%20DT%20architectures.%22%2C%22date%22%3A%222026-06-29%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260929%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242394091%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-07-06T12%3A35%3A01Z%22%7D%7D%2C%7B%22key%22%3A%22X9MFCIXN%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Njei%20and%20Sidney%20Kanmounye%22%2C%22parsedDate%22%3A%222026-06-24%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BNjei%20B%2C%20Sidney%20Kanmounye%20U.%20An%20Explainable%20AI%20Framework%20for%20Continuous%20Monitoring%2C%20Risk%20Stratification%2C%20and%20Clinical%20Decision%20Support%20in%20Primary%20Biliary%20Cholangitis%3A%20Protocol%20for%20a%20Multiphase%20Development%20and%20Validation%20Study.%20JMIR%20Res%20Protoc.%202026%20June%2024%3B15%3Ae89279.%20PMCID%3A%20PMC13294514%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DX9MFCIXN%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22An%20Explainable%20AI%20Framework%20for%20Continuous%20Monitoring%2C%20Risk%20Stratification%2C%20and%20Clinical%20Decision%20Support%20in%20Primary%20Biliary%20Cholangitis%3A%20Protocol%20for%20a%20Multiphase%20Development%20and%20Validation%20Study%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Basile%22%2C%22lastName%22%3A%22Njei%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ulrick%22%2C%22lastName%22%3A%22Sidney%20Kanmounye%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20Primary%20biliary%20cholangitis%20%28PBC%29%20management%20remains%20limited%20by%20reliance%20on%20static%20biochemical%20markers%2C%20fragmented%20assessment%20of%20symptom%20burden%2C%20and%20inadequate%20noninvasive%20risk%20stratification%20for%20clinically%20significant%20portal%20hypertension%20%28CSPH%29.%20Existing%20tools%20fail%20to%20integrate%20longitudinal%20laboratory%20trends%2C%20elastography%2C%20and%20patient-reported%20outcomes%2C%20and%20translation%20of%20risk%20assessment%20into%20guideline-concordant%20clinical%20action%20remains%20inconsistent.%5CnOBJECTIVE%3A%20This%20study%20aims%20to%20develop%2C%20validate%2C%20and%20pilot%20an%20explainable%20artificial%20intelligence%20%28AI%29%20framework-AIm-PBC-for%20continuous%20disease%20monitoring%2C%20early%20prediction%20of%20CSPH%20complications%2C%20and%20delivery%20of%20guideline-based%20clinical%20decision%20support%20in%20patients%20with%20PBC.%5CnMETHODS%3A%20We%20will%20conduct%20a%20multiphase%20study%20combining%20retrospective%20cohort%20analysis%2C%20prospective%20observational%20data%20collection%2C%20and%20implementation%20evaluation.%20At%20least%20600%20adults%20with%20confirmed%20PBC%20will%20be%20enrolled%20across%20academic%20hepatology%20centers.%20The%20AI%20framework%20will%20integrate%20longitudinal%20biochemical%20markers%2C%20noninvasive%20elastography%20metrics%2C%20and%20high-frequency%20patient-reported%20outcomes%20to%20generate%20an%20interpretable%20disease%20activity%20index%20and%20predict%20CSPH-related%20complications%20using%20gradient-boosted%20models%20with%20Shapley%20additive%20explanations.%20Outputs%20will%20be%20deployed%20via%20a%20SMART-on-FHIR%20%28Substitutable%20Medical%20Applications%2C%20Reusable%20Technologies%20on%20Fast%20Healthcare%20Interoperability%20Resources%29-enabled%20electronic%20health%20record%20clinical%20decision%20support%20tool.%20Implementation%20will%20be%20evaluated%20using%20a%20randomized%20crossover%20simulation%20followed%20by%20a%20pragmatic%20pilot%20assessing%20usability%2C%20cognitive%20load%2C%20clinician%20adherence%2C%20and%20feasibility.%5CnRESULTS%3A%20The%20primary%20outcomes%20include%20calibration%20and%20responsiveness%20of%20the%20disease%20activity%20index%3B%20discriminatory%20performance%20of%20the%20CSPH%20prediction%20model%20compared%20with%20established%20criteria%3B%20and%20effectiveness%20of%20the%20decision%20support%20tool%20measured%20via%20improvements%20in%20guideline-concordant%20care%2C%20usability%20scores%2C%20and%20clinician%20cognitive%20workload.%20Secondary%20outcomes%20include%20fairness%20metrics%20and%20workflow%20efficiency.%5CnCONCLUSIONS%3A%20This%20protocol%20outlines%20a%20scalable%2C%20explainable%20AI%20framework%20designed%20to%20bridge%20gaps%20between%20disease%20monitoring%2C%20risk%20prediction%2C%20and%20clinical%20action%20in%20PBC.%20If%20successful%2C%20AIm-PBC%20may%20enhance%20early%20complication%20detection%2C%20improve%20symptom%20management%2C%20and%20support%20equitable%2C%20evidence-based%20care%20delivery%20in%20routine%20hepatology%20practice.%22%2C%22date%22%3A%222026-06-24%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.2196%2F89279%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242343691%22%2C%22PMCID%22%3A%22PMC13294514%22%2C%22ISSN%22%3A%221929-0748%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-06-29T10%3A25%3A17Z%22%7D%7D%2C%7B%22key%22%3A%22K5PNY6T3%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Hampf%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-23%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BHampf%20C%2C%20Pley%20AW%2C%20Penndorf%20P%2C%20Moser%20FM%2C%20Lang%20S%2C%20Werner%20P%2C%20K%26amp%3B%23xE4%3Bstner%20A%2C%20Leddig%20T%2C%20Stahl%20D%2C%20Hoffmann%20W%2C%20Bialke%20M.%20Implementing%20informed%20consent%20in%20federated%20medical%20research%3A%20a%20blueprint%20designed%20to%20safeguard%20data%20subject%20rights%20in%20Germany.%20J%20Transl%20Med.%202026%20June%2023%3B24%281%29%3A828.%20PMCID%3A%20PMC13317252%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DK5PNY6T3%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Implementing%20informed%20consent%20in%20federated%20medical%20research%3A%20a%20blueprint%20designed%20to%20safeguard%20data%20subject%20rights%20in%20Germany%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%22%2C%22lastName%22%3A%22Hampf%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Astrid%20Wiebke%22%2C%22lastName%22%3A%22Pley%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Peter%22%2C%22lastName%22%3A%22Penndorf%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Frank%20Michael%22%2C%22lastName%22%3A%22Moser%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefan%22%2C%22lastName%22%3A%22Lang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Patrick%22%2C%22lastName%22%3A%22Werner%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anika%22%2C%22lastName%22%3A%22K%C3%A4stner%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Torsten%22%2C%22lastName%22%3A%22Leddig%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dana%22%2C%22lastName%22%3A%22Stahl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Wolfgang%22%2C%22lastName%22%3A%22Hoffmann%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Martin%22%2C%22lastName%22%3A%22Bialke%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20The%20establishment%20of%20the%20complementary%20infrastructures%20Medical%20Informatics%20Initiative%20%28MII%29%20and%20the%20Network%20of%20University%20Medicine%20%28NUM%29%20has%20significantly%20advanced%20the%20medical%20research%20landscape%20in%20Germany.%20Both%20infrastructures%20focus%20on%20the%20cross-institutional%20integration%20of%20health%20data%20as%20the%20basis%20for%20strengthening%20medical%20research%2C%20with%20the%20MII%20focusing%20on%20the%20standardization%20and%20integration%20of%20routine%20university%20clinical%20data%20and%20the%20NUM%20representing%20a%20central%20infrastructure%20for%20clinical%20studies%20and%20data%20sharing.%20Within%20the%20project%20%26apos%3BNUM%20Routine%20Data%20Platform%26apos%3B%20%28NUM-RDP%29%2C%20a%20federated%20record%20linkage%20approach%20was%20implemented%20across%2034%20affiliated%20German%20university%20hospitals.%20Accordingly%2C%20a%20federated%20Trusted%20Third%20Party%20%28fTTP%29%20performed%20pseudonymization%20and%20privacy-preserving%20record%20linkage%20across%20all%20the%20participating%20sites.%20This%20work%20aims%20to%20extend%20the%20established%20fTTP%20approach%20to%20managing%20consent%20and%20withdrawal%20while%20considering%20the%20current%20legal%20frameworks%20and%20research%20initiatives%20for%20the%20use%20of%20health%20data.%5CnMETHODS%3A%20A%20concept%20for%20an%20extended%20fTTP%2C%20termed%20%26apos%3BfTTP%20Consent%26apos%3B%2C%20is%20proposed%20to%20bridge%20communication%20gaps%20between%20different%20sites%2C%20facilities%20and%20components.%20This%20allows%20for%20central%20coordination%20for%20the%20implementation%20of%20patients%26apos%3B%20consent%20decisions%20regarding%20the%20storage%2C%20transfer%20and%20scientific%20use%20of%20their%20health%20data%20in%20a%20uniform%20manner.%5CnRESULTS%3A%20Two%20practical%20use%20cases%20for%20an%20%26apos%3BfTTP%20Consent%26apos%3B%20have%20been%20identified%20and%20conceptualized.%20First%2C%20the%20cross-site%20improvement%20of%20workflows%20and%20automated%20processes%20should%20be%20performed%20to%20ensure%20that%20consent%20data%20are%20correct%20in%20formal%2C%20legal%2C%20semantic%20and%20syntactic%20terms.%20Second%2C%20the%20cross-site%20improvement%20of%20automated%20notification%20processes%20for%20new%20or%20updated%20consent%20data%2C%20including%20respective%20withdrawal-%20and%20objection-processes%2C%20should%20be%20performed.%5CnCONCLUSIONS%3A%20In%20this%20study%2C%20the%20%26apos%3BfTTP%20Consent%26apos%3B%20has%20been%20proposed%20to%20reduce%20communicatory%20and%20personnel%20efforts.%20The%20correct%20and%20up-to-date%20realization%20of%20data%20subject%20rights%20should%20be%20ensured%20using%20the%20NUM-RDP%20as%20an%20example.%20The%20designed%20concept%20could%20help%20to%20overcome%20challenges%20in%20different%20consent%20scenarios%20%28opt-in%2C%20opt-out%29.%20Furthermore%2C%20it%20could%20streamline%20communication%20and%20data%20linkage%20processes%20between%20institutions%20and%20countries%20in%20future%20research%20projects.%22%2C%22date%22%3A%222026-06-23%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1186%2Fs12967-026-08437-y%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242337801%22%2C%22PMCID%22%3A%22PMC13317252%22%2C%22ISSN%22%3A%221479-5876%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-07-06T12%3A36%3A30Z%22%7D%7D%2C%7B%22key%22%3A%22U5SPHEHG%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Patterson%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-23%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BPatterson%20J%2C%20Minto%20E%2C%20Beaton%20M%2C%20Anand%20A%2C%20Velez%20M%2C%20Harris%20P%2C%20Hripcsak%20G%2C%20Natarajan%20K.%20A%20comparison%20of%20Fast%20Healthcare%20Interoperability%20Resources%20and%20Observational%20Medical%20Mutcomes%20Partnership%20electronic%20health%20record%20data%20within%20the%20All%20of%20Us%20Research%20Program.%20J%20Am%20Med%20Inform%20Assoc.%202026%20June%2023%3Bocag095.%20PMID%3A%2042334204%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DU5SPHEHG%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20comparison%20of%20Fast%20Healthcare%20Interoperability%20Resources%20and%20Observational%20Medical%20Mutcomes%20Partnership%20electronic%20health%20record%20data%20within%20the%20All%20of%20Us%20Research%20Program%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jason%22%2C%22lastName%22%3A%22Patterson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elise%22%2C%22lastName%22%3A%22Minto%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maura%22%2C%22lastName%22%3A%22Beaton%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Adit%22%2C%22lastName%22%3A%22Anand%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mark%22%2C%22lastName%22%3A%22Velez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Paul%22%2C%22lastName%22%3A%22Harris%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22George%22%2C%22lastName%22%3A%22Hripcsak%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Karthik%22%2C%22lastName%22%3A%22Natarajan%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVE%3A%20This%20study%20compares%20the%20contents%20of%20two%20data%20standards%3B%20the%20Observational%20Medical%20Outcomes%20Partnership%20%28OMOP%29%20and%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29%2C%20highlighting%20their%20strength%20and%20weaknesses%20and%20serve%20as%20an%20initial%20step%20toward%20understanding%20how%20each%20standard%20supports%20secondary%20data%20analysis.%5CnMATERIALS%20AND%20METHODS%3A%20Participant%20electronic%20health%20record%20data%20in%20both%20OMOP%20and%20FHIR%20formats%20from%20the%20All%20of%20Us%20Research%20Program%20%28AoURP%29%20were%20compared%2C%20including%20codeable%20event%20volume%2C%20healthcare%20encounters%2C%20and%20person%20timelines.%20A%20phenotype-based%20assessment%20was%20also%20conducted%20using%20Type-II%20Diabetes%20Mellitus%20%28T2DM%29.%5CnRESULTS%3A%20Among%2029%C2%A0512%20participants%20identified%20with%20overlapping%20FHIR%20and%20OMOP%20data%2C%20Median%20codeable%20event%20counts%20were%20comparable%20between%20FHIR%20and%20OMOP%20within%20the%20Measurement%20%28OMOP%E2%80%89%3D%E2%80%89846%3B%20FHIR%E2%80%89%3D%E2%80%89832%29%2C%20Drug%20%28OMOP%E2%80%89%3D%E2%80%8992%3B%20FHIR%E2%80%89%3D%E2%80%8990%29%2C%20and%20Observation%20%28OMOP%E2%80%89%3D%E2%80%8965%3B%20FHIR%E2%80%89%3D%E2%80%89100%29%20domains%2C%20but%20were%20higher%20in%20OMOP%20within%20the%20Condition%20%28OMOP%E2%80%89%3D%E2%80%89258%3B%20FHIR%E2%80%89%3D%E2%80%8911%29%20and%20Procedure%20%28OMOP%E2%80%89%3D%E2%80%8972%3B%20FHIR%E2%80%89%3D%E2%80%894%29%20domains.%20Within%20the%20T2DM%20cohort%2C%20OMOP%20contained%20more%20data%2C%20except%20for%20medications.%20Very%20few%20participants%20had%20encounters%20in%20FHIR%20%281.5%25%29%20relative%20to%20OMOP%20%2897.0%25%29.%20On%20average%2C%20only%2015.9%25%20of%20visit%20dates%20overlapped%20in%20both%20standards%2C%20with%20most%20visit%20dates%20occurring%20only%20in%20OMOP%20%2865.3%25%29%20or%20only%20FHIR%20%2818.4%25%29.%5CnDISCUSSION%3A%20Data%20in%20OMOP%20showed%20a%20higher%20volume%20of%20observation%20and%20procedure%20codeable%20events%2C%20reported%20encounters%2C%20and%20T2DM%20symptoms%2C%20complications%2C%20and%20comorbidities.%20FHIR%20data%20was%20able%20to%20capture%20data%20across%20multiple%20providers%20and%20health%20systems.%5CnCONCLUSION%3A%20Based%20on%20AoURP%20data%2C%20both%20standards%20were%20shown%20to%20support%20healthcare%20data%20capture%2C%20although%20OMOP%20shows%20greater%20utility%20for%20research%20purposes%20as%20its%20extract%2C%20transform%2C%20and%20load%20process%20enables%20more%20flexible%20data%20capture%20relative%20to%20extracting%20data%20from%20FHIR%20payloads.%20FHIR%2C%20however%2C%20captures%20patient-level%20data%20from%20beyond%20the%20health%20system%20and%20can%20thus%20be%20used%20to%20supplement%20OMOP.%22%2C%22date%22%3A%222026-06-23%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1093%2Fjamia%2Focag095%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242334204%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221527-974X%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-06-29T10%3A25%3A58Z%22%7D%7D%2C%7B%22key%22%3A%22AGI9GXVA%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Hampf%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-23%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BHampf%20C%2C%20Pley%20AW%2C%20Penndorf%20P%2C%20Moser%20FM%2C%20Lang%20S%2C%20Werner%20P%2C%20K%26amp%3B%23xE4%3Bstner%20A%2C%20Leddig%20T%2C%20Stahl%20D%2C%20Hoffmann%20W%2C%20Bialke%20M.%20Implementing%20informed%20consent%20in%20federated%20medical%20research%3A%20a%20blueprint%20designed%20to%20safeguard%20data%20subject%20rights%20in%20Germany.%20J%20Transl%20Med.%202026%20June%2023%3B%20PMID%3A%2042337801%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DAGI9GXVA%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Implementing%20informed%20consent%20in%20federated%20medical%20research%3A%20a%20blueprint%20designed%20to%20safeguard%20data%20subject%20rights%20in%20Germany%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%22%2C%22lastName%22%3A%22Hampf%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Astrid%20Wiebke%22%2C%22lastName%22%3A%22Pley%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Peter%22%2C%22lastName%22%3A%22Penndorf%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Frank%20Michael%22%2C%22lastName%22%3A%22Moser%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefan%22%2C%22lastName%22%3A%22Lang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Patrick%22%2C%22lastName%22%3A%22Werner%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anika%22%2C%22lastName%22%3A%22K%C3%A4stner%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Torsten%22%2C%22lastName%22%3A%22Leddig%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dana%22%2C%22lastName%22%3A%22Stahl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Wolfgang%22%2C%22lastName%22%3A%22Hoffmann%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Martin%22%2C%22lastName%22%3A%22Bialke%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20The%20establishment%20of%20the%20complementary%20infrastructures%20Medical%20Informatics%20Initiative%20%28MII%29%20and%20the%20Network%20of%20University%20Medicine%20%28NUM%29%20has%20significantly%20advanced%20the%20medical%20research%20landscape%20in%20Germany.%20Both%20infrastructures%20focus%20on%20the%20cross-institutional%20integration%20of%20health%20data%20as%20the%20basis%20for%20strengthening%20medical%20research%2C%20with%20the%20MII%20focusing%20on%20the%20standardization%20and%20integration%20of%20routine%20university%20clinical%20data%20and%20the%20NUM%20representing%20a%20central%20infrastructure%20for%20clinical%20studies%20and%20data%20sharing.%20Within%20the%20project%20%26apos%3BNUM%20Routine%20Data%20Platform%26apos%3B%20%28NUM-RDP%29%2C%20a%20federated%20record%20linkage%20approach%20was%20implemented%20across%2034%20affiliated%20German%20university%20hospitals.%20Accordingly%2C%20a%20federated%20Trusted%20Third%20Party%20%28fTTP%29%20performed%20pseudonymization%20and%20privacy-preserving%20record%20linkage%20across%20all%20the%20participating%20sites.%20This%20work%20aims%20to%20extend%20the%20established%20fTTP%20approach%20to%20managing%20consent%20and%20withdrawal%20while%20considering%20the%20current%20legal%20frameworks%20and%20research%20initiatives%20for%20the%20use%20of%20health%20data.%5CnMETHODS%3A%20A%20concept%20for%20an%20extended%20fTTP%2C%20termed%20%26apos%3BfTTP%20Consent%26apos%3B%2C%20is%20proposed%20to%20bridge%20communication%20gaps%20between%20different%20sites%2C%20facilities%20and%20components.%20This%20allows%20for%20central%20coordination%20for%20the%20implementation%20of%20patients%26apos%3B%20consent%20decisions%20regarding%20the%20storage%2C%20transfer%20and%20scientific%20use%20of%20their%20health%20data%20in%20a%20uniform%20manner.%5CnRESULTS%3A%20Two%20practical%20use%20cases%20for%20an%20%26apos%3BfTTP%20Consent%26apos%3B%20have%20been%20identified%20and%20conceptualized.%20First%2C%20the%20cross-site%20improvement%20of%20workflows%20and%20automated%20processes%20should%20be%20performed%20to%20ensure%20that%20consent%20data%20are%20correct%20in%20formal%2C%20legal%2C%20semantic%20and%20syntactic%20terms.%20Second%2C%20the%20cross-site%20improvement%20of%20automated%20notification%20processes%20for%20new%20or%20updated%20consent%20data%2C%20including%20respective%20withdrawal-%20and%20objection-processes%2C%20should%20be%20performed.%5CnCONCLUSIONS%3A%20In%20this%20study%2C%20the%20%26apos%3BfTTP%20Consent%26apos%3B%20has%20been%20proposed%20to%20reduce%20communicatory%20and%20personnel%20efforts.%20The%20correct%20and%20up-to-date%20realization%20of%20data%20subject%20rights%20should%20be%20ensured%20using%20the%20NUM-RDP%20as%20an%20example.%20The%20designed%20concept%20could%20help%20to%20overcome%20challenges%20in%20different%20consent%20scenarios%20%28opt-in%2C%20opt-out%29.%20Furthermore%2C%20it%20could%20streamline%20communication%20and%20data%20linkage%20processes%20between%20institutions%20and%20countries%20in%20future%20research%20projects.%22%2C%22date%22%3A%222026-06-23%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1186%2Fs12967-026-08437-y%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242337801%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221479-5876%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-06-29T10%3A25%3A44Z%22%7D%7D%2C%7B%22key%22%3A%22CVAMHXIU%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Ferreira%20and%20Faria%22%2C%22parsedDate%22%3A%222026-06-22%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BFerreira%20JC%2C%20Faria%20P.%20Automated%20video-based%20AVPU%20assessment%20within%20a%20FHIR-enabled%20clinical%20decision%20support%20framework.%20Sci%20Rep.%202026%20June%2022%3B%20PMID%3A%2042332118%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DCVAMHXIU%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Automated%20video-based%20AVPU%20assessment%20within%20a%20FHIR-enabled%20clinical%20decision%20support%20framework%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jo%C3%A3o%20C.%22%2C%22lastName%22%3A%22Ferreira%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pedro%22%2C%22lastName%22%3A%22Faria%22%7D%5D%2C%22abstractNote%22%3A%22Accurate%20and%20timely%20assessment%20of%20consciousness%20is%20critical%20for%20triage%2C%20escalation%20of%20care%2C%20and%20patient%20safety%20in%20emergency%20and%20hospital%20settings.%20However%2C%20documentation%20using%20the%20AVPU%20scale%20%28Alert%2C%20Verbal%2C%20Pain%2C%20Unresponsive%29%20remains%20inconsistent%20owing%20to%20high%20workload%2C%20subjectivity%2C%20and%20fragmented%20workflows.%20This%20study%20developed%20and%20evaluated%20Consc.ia%2C%20a%20video-based%20clinical%20decision-support%20platform%20that%20automates%20AVPU%20inference%20while%20preserving%20clinician%20oversight%20and%20enabling%20seamless%2C%20interoperable%20documentation%20through%20HL7%20FHIR.%20A%20simulated%20AVPU%20dataset%20comprising%20136%20videos%20from%2058%20healthcare%20professionals%20%28physicians%2C%20nurses%2C%20paramedics%2C%20and%20first%20responders%29%20was%20created%20under%20controlled%20conditions%20with%20ethics%20approval%20from%20the%20ISCTE%20-%20Instituto%20Universit%C3%A1rio%20de%20Lisboa%20Ethics%20Commission%20%28reference%20CE-ISTA%2F2025.08%2C%20July%202025%29.%20The%20system%20architecture%20combines%20edge-computing%20computer%20vision%20for%20real-time%20extraction%20of%20facial%20landmarks%2C%20eye%20state%2C%20arm%20movement%2C%20and%20verbal%20responses%3B%20a%20clinician-in-the-loop%20validation%20layer%3B%20and%20FHIR-mapped%20Observation%20resources%20for%20direct%20EHR%20integration.%20Three%20deployment%20scenarios%20%28Emergency%20Medical%20Services%2C%20Emergency%20Departments%2C%20and%20Intermediate%20Care%20wards%29%20were%20designed%20and%20compared.%20Technology%20adoption%20was%20modelled%20using%20Rogers%26apos%3B%20Innovation%20Adoption%20Curve%20and%20the%20Bass%20Diffusion%20Model%20%28p%E2%80%89%3D%E2%80%890.01%2C%20q%E2%80%89%3D%E2%80%890.35%2C%20M%E2%80%89%3D%E2%80%89111%20Portuguese%20hospitals%29.%20The%20architecture%20achieves%20low-latency%20inference%20with%20privacy-by-design%20%28local%20processing%2C%20no%20raw%20video%20storage%29.%20Stakeholder%20validation%20confirmed%20strong%20workflow%20fit%20and%20highlighted%20persistent%20documentation%20gaps%20during%20EMS-to-hospital%20transitions.%20Scenario%20analysis%20revealed%20distinct%20hardware%20and%20integration%20requirements%20%28ambulance%20edge%20device%20versus%20ward%20multi-camera%20server%29.%20Bass%20modelling%20projects%20gradual%20adoption%2C%20reaching%20approximately%2050%25%20of%20Intermediate%20Care%20wards%20by%202037%20in%20the%20realistic%20scenario%2C%20with%20the%20%26quot%3Bchasm%26quot%3B%20phase%20occurring%20between%202030%20and%202032.%20Sensitivity%20analysis%20identified%20early%20clinical%20evidence%20and%20FHIR%20integration%20support%20as%20the%20strongest%20accelerators%20of%20diffusion.%20As%20this%20constitutes%20a%20proof-of-concept%20study%2C%20no%20quantitative%20AVPU%20classification%20metrics%20%28e.g.%2C%20accuracy%2C%20sensitivity%2C%20specificity%2C%20or%20confusion%20matrix%29%20are%20reported%20at%20this%20stage%3B%20empirical%20model%20evaluation%20against%20expert-annotated%20clinical%20recordings%20is%20identified%20as%20the%20primary%20prerequisite%20for%20future%20validation%20and%20clinical%20translation.%20As%20a%20proof-of-concept%20that%20has%20not%20yet%20undergone%20clinical%20validation%2C%20Consc.ia%20offers%20a%20feasible%2C%20interoperable%20solution%20for%20standardising%20AVPU%20documentation%20and%20strengthening%20early%20warning%20systems.%20By%20combining%20video%20analytics%2C%20edge%20computing%2C%20clinician%20validation%2C%20and%20FHIR%20integration%2C%20the%20platform%20addresses%20a%20longstanding%20gap%20in%20emergency-care%20digitalisation%20and%20provides%20a%20clear%20roadmap%20for%20real-world%20adoption.%22%2C%22date%22%3A%222026-06-22%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1038%2Fs41598-026-57122-z%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242332118%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222045-2322%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-06-29T10%3A26%3A06Z%22%7D%7D%2C%7B%22key%22%3A%227A7PN3QG%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Corr%C3%AAa%20Rampinelli%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-18%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BCorr%26amp%3B%23xEA%3Ba%20Rampinelli%20VP%2C%20Dos%20Santos%20RA%2C%20Celuppi%20IC%2C%20Santos%20GN%2C%20Hammes%20JF%2C%20Cunha%20CL%2C%20Wazlawick%20RS%2C%20Dalmarco%20EM.%20Fast%20healthcare%20interoperability%20resources%20%28FHIR%29%20implementation%20guide%20creation%20process%3A%20scoping%20review.%20Int%20J%20Med%20Inform.%202026%20June%2018%3B219%3A106548.%20PMID%3A%2042322886%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D7A7PN3QG%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Fast%20healthcare%20interoperability%20resources%20%28FHIR%29%20implementation%20guide%20creation%20process%3A%20scoping%20review%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vanessa%20Pereira%22%2C%22lastName%22%3A%22Corr%C3%AAa%20Rampinelli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ranieri%20Alves%22%2C%22lastName%22%3A%22Dos%20Santos%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ianka%20Cristina%22%2C%22lastName%22%3A%22Celuppi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gabriel%20Norde%22%2C%22lastName%22%3A%22Santos%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jades%20Fernando%22%2C%22lastName%22%3A%22Hammes%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C%C3%A9lio%20Luiz%22%2C%22lastName%22%3A%22Cunha%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Raul%20Sidnei%22%2C%22lastName%22%3A%22Wazlawick%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Eduardo%20Monguilhott%22%2C%22lastName%22%3A%22Dalmarco%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20The%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29%20standard%20is%20a%20global%20benchmark%20for%20digital%20health%20data%20exchange.%20Despite%20its%20widespread%20adoption%2C%20the%20scientific%20literature%20on%20the%20methodological%20processes%20for%20creating%20FHIR%20Implementation%20Guides%20%28IGs%29%20remains%20fragmented%20and%20lacks%20systematization.%5CnOBJECTIVE%3A%20This%20scoping%20review%20aims%20to%20synthesize%20the%20scientific%20literature%20on%20the%20process%20of%20developing%20FHIR%20IGs%20for%20electronic%20health%20records%2C%20identifying%20methodological%20steps%2C%20toolchains%2C%20governance%20patterns%2C%20and%20critical%20gaps%20that%20limit%20clinical%20adoption.%5CnMETHODS%3A%20Following%20JBI%20and%20PRISMA-ScR%20guidelines%2C%20a%20comprehensive%20search%20was%20conducted%20across%20nine%20databases%20in%20August%202025.%20From%20an%20initial%205%2C552%20records%2C%20eleven%20studies%20published%20between%202021%20and%202025%20were%20selected%20for%20analysis.%20Data%20extraction%20focused%20on%20development%20stages%2C%20team%20composition%2C%20authoring%20tools%2C%20and%20validation%20workflows.%5CnRESULTS%3A%20The%20study%20identified%20a%20synthesized%20seven-step%20implementation%20lifecycle%3A%20requirements%2C%20modeling%2C%20terminology%2C%20narrative%20documentation%2C%20technical%20validation%2C%20clinical%20validation%2C%20and%20publication.%20A%20significant%20methodological%20shift%20toward%20%26quot%3BInfrastructure%20as%20Code%26quot%3B%20was%20observed%2C%20with%20frequent%20use%20of%20FHIR%20Shorthand%20%28FSH%29%20and%20Continuous%20Integration%2FContinuous%20Deployment%20%28CI%2FCD%29%20pipelines%2C%20particularly%20in%20European%20national%20initiatives.%20While%20technical%20validation%20was%20nearly%20universal%20%2810%20out%20of%2011%20studies%29%2C%20clinical%20validation%20was%20inconsistently%20addressed%20%287%20out%20of%2011%20studies%29%2C%20often%20relegated%20to%20future%20work%2C%20resulting%20in%20IGs%20that%20are%20syntactically%20correct%20but%20insufficiently%20aligned%20with%20real-world%20clinical%20workflows.%20Narrative%20documentation%2C%20essential%20for%20non-technical%20stakeholders%2C%20was%20reported%20as%20comprehensive%20in%20only%20four%20studies%2C%20limiting%20broader%20clinical%20adoption.%20All%20studies%20reported%20multidisciplinary%20team%20involvement%2C%20confirming%20that%20IG%20development%20is%20fundamentally%20an%20exercise%20in%20clinical%20governance%20and%20consensus.%5CnCONCLUSION%3A%20The%20creation%20of%20FHIR%20IGs%20has%20evolved%20into%20a%20complex%20discipline%20requiring%20a%20convergence%20of%20software%20engineering%2C%20clinical%20semantics%2C%20and%20institutional%20governance.%20This%20review%20advances%20beyond%20existing%20FHIR%20literature%20by%20providing%20the%20first%20systematic%20synthesis%20focused%20specifically%20on%20the%20IG%20creation%20process%2C%20presenting%20a%20replicable%20seven-step%20cycle%20that%20can%20guide%20implementers%2C%20researchers%2C%20and%20policy%20makers.%20Closing%20the%20gap%20between%20technical%20readiness%20and%20clinical%20applicability%20remains%20a%20critical%20challenge.%20Future%20research%20should%20prioritize%20ongoing%20clinical%20validation%2C%20the%20establishment%20of%20standardized%20reporting%20frameworks%20for%20IG%20development%2C%20and%20the%20integration%20of%20generative%20AI%20tools%20to%20enhance%20narrative%20documentation%20and%20terminology%20binding.%22%2C%22date%22%3A%222026-06-18%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1016%2Fj.ijmedinf.2026.106548%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242322886%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221872-8243%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-06-29T10%3A26%3A18Z%22%7D%7D%2C%7B%22key%22%3A%22N2DJUBZM%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Serrano%20Garc%C3%ADa%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-17%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BSerrano%20Garc%26amp%3B%23xED%3Ba%20A%2C%20L%26amp%3B%23xF3%3Bpez%20D%2C%20Macias-Fassio%20E%2C%20Salas-Sosa%20S%2C%20Pascual%20I%2C%20Pruenza%20C%2C%20Borges-Sa%20M%2C%20Giglio%20A%2C%20Cruz-Rojo%20J%2C%20Pacheco-Puig%20R.%20From%20development%20to%20clinical%20practice%3A%20deployment%20of%20an%20interoperable%20and%20secure%20ML-based%20CDSS%20to%20aid%20in%20the%20early%20detection%20of%20sepsis.%20Int%20J%20Med%20Inform.%202026%20June%2017%3B219%3A106545.%20PMID%3A%2042308952%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DN2DJUBZM%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22From%20development%20to%20clinical%20practice%3A%20deployment%20of%20an%20interoperable%20and%20secure%20ML-based%20CDSS%20to%20aid%20in%20the%20early%20detection%20of%20sepsis%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ana%22%2C%22lastName%22%3A%22Serrano%20Garc%C3%ADa%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22L%C3%B3pez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Eric%22%2C%22lastName%22%3A%22Macias-Fassio%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Santiago%22%2C%22lastName%22%3A%22Salas-Sosa%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Iv%C3%A1n%22%2C%22lastName%22%3A%22Pascual%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Cristina%22%2C%22lastName%22%3A%22Pruenza%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marcio%22%2C%22lastName%22%3A%22Borges-Sa%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andr%C3%A9s%22%2C%22lastName%22%3A%22Giglio%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jaime%22%2C%22lastName%22%3A%22Cruz-Rojo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rodrigo%22%2C%22lastName%22%3A%22Pacheco-Puig%22%7D%5D%2C%22abstractNote%22%3A%22Recent%20research%20has%20increasingly%20focused%20on%20machine%20learning%20%28ML%29%20models%20for%20early%20disease%20prediction%2C%20yet%20practical%20frameworks%20for%20integrating%20these%20models%20into%20clinical%20workflows%20remain%20limited.%20BIAlert%20is%20a%20microservices-based%20framework%20designed%20to%20operate%20as%20a%20real-time%20early-warning%20system%20for%20ML-driven%20disease%20prediction%20in%20hospitalised%20patients.%20It%20can%20be%20deployed%20remotely%20on%20physical%20or%20virtual%20servers%20and%20is%20composed%20of%20coupled%20microservices%20that%20communicate%20through%20Apache%20Kafka%20queues%2C%20using%20HL7%20FHIR%20resources%20as%20the%20message%20format.%20The%20system%20comprises%20four%20core%20components%3A%20%281%29%20the%20Connector%2C%20which%20ingests%20raw%20hospital%20data%20and%20converts%20it%20into%20standardised%20healthcare%20formats%3B%20%282%29%20the%20Writer%2C%20which%20stores%20FHIR-formatted%20data%20in%20an%20internal%20database%20and%20triggers%20the%20prediction%20pipeline%3B%20%283%29%20the%20Predictor%2C%20which%20hosts%20ML%20models%20and%20generates%20patient-specific%20alerts%3B%20and%20%284%29%20the%20Model%20Evaluator%2C%20which%20supports%20prospective%20monitoring%20of%20model%20performance.%20Alerts%20are%20displayed%20through%20the%20BIAlert%20user%20interface%20and%20can%20also%20be%20integrated%20directly%20into%20the%20electronic%20health%20record%20%28EHR%29.%20BIAlert%20is%20currently%20deployed%20and%20operating%20in%20real-time%20clinical%20settings%20in%20two%20hospitals%2C%20demonstrating%20its%20feasibility%20as%20a%20scalable%20and%20interoperable%20solution%20for%20ML-based%20clinical%20decision%20support.%22%2C%22date%22%3A%222026-06-17%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1016%2Fj.ijmedinf.2026.106545%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242308952%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221872-8243%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-06-22T15%3A25%3A39Z%22%7D%7D%2C%7B%22key%22%3A%22QC3S9LMR%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Chen%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-15%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BChen%20Y%2C%20Qin%20X%2C%20Chen%20S.%20Foundation%20Models%20and%20AI%20Agents%20in%20Digital%20Pathology%20Imaging%3A%20A%20Systematic%20Review%20of%20Integration%20into%20the%20Clinical%20Workflow%20and%20Implementation%20Challenges.%20J%20Imaging%20Inform%20Med.%202026%20June%2015%3B%20PMID%3A%2042298093%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DQC3S9LMR%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Foundation%20Models%20and%20AI%20Agents%20in%20Digital%20Pathology%20Imaging%3A%20A%20Systematic%20Review%20of%20Integration%20into%20the%20Clinical%20Workflow%20and%20Implementation%20Challenges%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ye%22%2C%22lastName%22%3A%22Chen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Xiaoqun%22%2C%22lastName%22%3A%22Qin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shouping%22%2C%22lastName%22%3A%22Chen%22%7D%5D%2C%22abstractNote%22%3A%22The%20objective%20of%20this%20study%20is%20to%20systematically%20assess%20foundation%20model%E2%80%91driven%20AI%20agents%20in%20digital%20pathology%20imaging%2C%20focusing%20on%20technical%20progress%2C%20clinical%20validation%2C%20and%20workflow%20integration%20barriers%20from%20an%20implementation%20science%20perspective%2C%20while%20clearly%20distinguishing%20foundation%20models%20as%20general%E2%80%91purpose%20pretrained%20representations%20from%20AI%20agents%20as%20goal%E2%80%91directed%20workflow%20systems.%20PubMed%2C%20Embase%2C%20Scopus%2C%20Web%20of%20Science%2C%20and%20IEEE%20Xplore%20were%20searched%20%282020-2026%29.%20Studies%20reporting%20foundation%20models%20or%20AI%20agents%20in%20pathology%20image%20analysis%20with%20clinical%20validation%20were%20included.%20Quality%20was%20assessed%20using%20QUADAS%E2%80%912%2C%20PROBAST%2C%20and%20CLAIM.%20Data%20extraction%20was%20enhanced%20to%20capture%20multi%E2%80%91task%20adaptability%2C%20zero%E2%80%91shot%20capabilities%2C%20and%20downstream%20evaluation%20protocols.%20Forty%E2%80%91two%20studies%20were%20included.%20When%20evaluated%20on%20downstream%20tasks%20after%20fine%E2%80%91tuning%20or%20linear%20probing%2C%20foundation%20models%20demonstrated%20excellent%20performance%20%28AUC%200.85-0.97%20across%20diagnostic%20tasks%29.%20However%2C%20only%20six%20studies%20%2814.3%25%29%20conducted%20multicenter%20validation%3B%20prospective%20studies%20were%E2%80%89%26lt%3B%E2%80%895%25.%20AI%20agents%20operated%20at%20L1-L2%20levels%2C%20with%20workflow%20integration%20relying%20on%20HL7%2FFHIR%20and%20DICOM%20standards.%20Four%20barriers%20emerged%3A%20data%20heterogeneity%2C%20limited%20explainability%2C%20insufficient%20workflow%E2%80%91level%20validation%2C%20and%20regulatory%20gaps.%20The%20review%20also%20identified%20that%20foundation%20models%26apos%3B%20lightweight%20adaptability-enabling%20strong%20performance%20across%205-15%20downstream%20task%20families-remains%20under%E2%80%91reported.%20Clinical%20adoption%20requires%20multicenter%20prospective%20studies%2C%20standardized%20reporting%20%28CLAIM%29%2C%20interoperability%20standards%20%28DICOM%20for%20Pathology%29%2C%20and%20adaptive%20regulatory%20pathways%20for%20AI%20agents%20in%20digital%20pathology.%22%2C%22date%22%3A%222026-06-15%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1007%2Fs10278-026-02034-7%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242298093%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222948-2933%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-06-22T15%3A26%3A17Z%22%7D%7D%2C%7B%22key%22%3A%22RLBW6P44%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Kesselmeier%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-15%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BKesselmeier%20M%2C%20Thalheim%20T%2C%20Schmidt%20F%2C%20Peschel%20T%2C%20Palm%20J%2C%20Str%26amp%3B%23xFC%3Bbing%20A%2C%20Medek%20A%2C%20Przybilla%20J%2C%20Wermund%20AM%2C%20Maas%20R%2C%20H%26amp%3B%23xE4%3Brterich%20S%2C%20Redeker%20L%2C%20Federbusch%20M%2C%20Steinbach%20D%2C%20Gewehr%20J%2C%20Wurlitzer%20M%2C%20Riedel%20A%2C%20Meineke%20F%2C%20Neumann%20D%2C%20Scherag%20A%2C%20Loeffler%20M%2C%20POLAR_MI.%20A%20distributed%20analysis%20approach%20for%20pharmacovigilance%20data%20from%20electronic%20medical%20records%20in%20German%20university%20hospitals%3A%20the%20POLAR_MI%20ETL%20Pipeline.%20BMC%20Med%20Inform%20Decis%20Mak.%202026%20June%2015%3B26%281%29%3A220.%20PMCID%3A%20PMC13270667%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DRLBW6P44%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20distributed%20analysis%20approach%20for%20pharmacovigilance%20data%20from%20electronic%20medical%20records%20in%20German%20university%20hospitals%3A%20the%20POLAR_MI%20ETL%20Pipeline%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Miriam%22%2C%22lastName%22%3A%22Kesselmeier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Torsten%22%2C%22lastName%22%3A%22Thalheim%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Florian%22%2C%22lastName%22%3A%22Schmidt%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%22%2C%22lastName%22%3A%22Peschel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julia%22%2C%22lastName%22%3A%22Palm%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexander%22%2C%22lastName%22%3A%22Str%C3%BCbing%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andr%C3%A9%22%2C%22lastName%22%3A%22Medek%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jens%22%2C%22lastName%22%3A%22Przybilla%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anna%20Maria%22%2C%22lastName%22%3A%22Wermund%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Renke%22%2C%22lastName%22%3A%22Maas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Steffen%22%2C%22lastName%22%3A%22H%C3%A4rterich%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Louisa%22%2C%22lastName%22%3A%22Redeker%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Martin%22%2C%22lastName%22%3A%22Federbusch%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22Steinbach%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jan%22%2C%22lastName%22%3A%22Gewehr%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marcus%22%2C%22lastName%22%3A%22Wurlitzer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrea%22%2C%22lastName%22%3A%22Riedel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Frank%22%2C%22lastName%22%3A%22Meineke%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22Neumann%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andr%C3%A9%22%2C%22lastName%22%3A%22Scherag%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Markus%22%2C%22lastName%22%3A%22Loeffler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22name%22%3A%22POLAR_MI%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20The%20cooperative%20project%20%26quot%3BPOLypharmacy%2C%20drug%20interActions%20and%20Risks%26quot%3B%20%28POLAR_MI%29%20of%20the%20Medical%20Informatics%20Initiative%20Germany%20%28MII%29%20aimed%20at%20detecting%20medication-related%20risks%20attributed%20to%20polymedication%20in%20adult%20patients%20from%20German%20university%20hospitals.%20Here%2C%20we%20report%20technological%20challenges%20and%20solutions%20to%20undertake%20this%20large-scale%20multicentre%20project%20relying%20on%20routine%20healthcare%20data%20stored%20and%20processed%20by%20the%20data%20integration%20centres%2C%20which%20were%20recently%20established%20at%20the%20German%20university%20hospitals.%5CnMETHODS%3A%20We%20developed%20and%20implemented%20a%20two-step%2C%20privacy-preserving%2C%20distributed%20analysis%20approach%20to%20analyse%20clinical%20routine%20healthcare%20data%20relying%20on%20the%20internationally%20balloted%20MII%20HL7%C2%AE%20FHIR%C2%AE%20core%20data%20set%20specifications%20%28version%201.0%29.%20In%20this%20approach%2C%20without%20direct%20data%20access%20for%20the%20data%20analysts%2C%20a%20local%20data%20aggregation%20step%20comprising%20data%20extraction%2C%20transformation%20%28including%20statistical%20analyses%29%20and%20loading%20%28ETL%29%20at%20each%20university%20hospital%26apos%3Bs%20data%20integration%20centre%20was%20followed%20by%20a%20central%20random-effects%20meta-analysis.%5CnRESULTS%3A%20Using%20an%20iterative%20procedure%20between%20data%20integration%20centres%20and%20the%20cross-institutional%20analysis%20team%2C%20we%20overcame%20many%20challenges%20and%20established%20the%20%26quot%3BPOLAR_MI%20ETL%20Pipeline%26quot%3B.%20These%20challenges%20originated%20from%20the%20heterogeneity%20of%20the%20data%20integration%20centres%20and%20the%20IT%20infrastructure%20of%20the%20related%20university%20hospitals%20including%20their%20local%20hospital%20information%20system.%20Applying%20our%20pipeline%2C%20we%20analysed%20data%20from%20ten%20centres%20on%20nearly%20800%2C000%20encounters%20from%20about%20500%2C000%20patients.%5CnCONCLUSIONS%3A%20For%20the%20first%20time%20within%20the%20MII%20infrastructure%2C%20we%20demonstrated%20that%20a%20project%20on%20routine%20healthcare%20data%20is%20feasible%20using%20a%20distributed%20analysis%20approach%20based%20on%20the%20recently%20established%20network%20of%20data%20integration%20centres%20in%20Germany.%20We%20describe%20an%20approach%20to%20obtain%20a%20valuable%20and%20insightful%20overview%20of%20health%20risks%20in%20routine%20healthcare%20and%20share%20the%20related%20code.%20Moreover%2C%20we%20propose%20improvements%20to%20the%20ETL%20process%20for%20future%20distributed%20analyses.%20Finally%2C%20our%20data-related%20challenges%20and%20solutions%20can%20be%20adapted%20to%20other%20healthcare%20settings%20%28in%20other%20countries%20and%20initiatives%2C%20respectively%29%20as%20long%20as%20data%20integration%20centres%20equivalents%20and%20a%20common%20data%20format%2Fmodel%20are%20available.%5CnTRIAL%20REGISTRATION%3A%20POLAR_MI%20was%20registered%20on%2027%2F11%2F2020%20in%20the%20%26quot%3BHMA-EMA%20Catalogues%20of%20real-world%20data%20sources%20and%20studies%26quot%3B%20%28EU%20PAS%20number%3A%20EUPAS36582%29.%22%2C%22date%22%3A%222026-06-15%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1186%2Fs12911-026-03550-w%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242298626%22%2C%22PMCID%22%3A%22PMC13270667%22%2C%22ISSN%22%3A%221472-6947%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-06-22T15%3A26%3A04Z%22%7D%7D%2C%7B%22key%22%3A%227AEZCLYN%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Sharma%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-13%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BSharma%20V%2C%20McDermott%20JH%2C%20Keen%20J%2C%20Koikkalainen%20H%2C%20McNicoll%20I%2C%20Davies%20A%2C%20Newman%20WG.%20Development%20and%20validation%20of%20an%20open%20data%20model%20for%20pharmacogenetics%20to%20enable%20semantic%20interoperability%20in%20clinical%20practice.%20Pharmacogenomics%20J.%202026%20June%2013%3B26%283%29%3A27.%20PMID%3A%2042285967%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D7AEZCLYN%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Development%20and%20validation%20of%20an%20open%20data%20model%20for%20pharmacogenetics%20to%20enable%20semantic%20interoperability%20in%20clinical%20practice%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Videha%22%2C%22lastName%22%3A%22Sharma%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22John%20H.%22%2C%22lastName%22%3A%22McDermott%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jessica%22%2C%22lastName%22%3A%22Keen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Heidi%22%2C%22lastName%22%3A%22Koikkalainen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ian%22%2C%22lastName%22%3A%22McNicoll%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Angela%22%2C%22lastName%22%3A%22Davies%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22William%20G.%22%2C%22lastName%22%3A%22Newman%22%7D%5D%2C%22abstractNote%22%3A%22Pharmacogenetics%20uses%20genetic%20testing%20to%20improve%20the%20safety%20and%20effectiveness%20of%20prescribed%20medicines%2C%20yet%20implementation%20at%20scale%20remains%20limited%20due%20to%20the%20absence%20of%20interoperable%20health%20IT%20solutions%20that%20integrate%20results%20into%20prescribing%20workflows.%20This%20study%20aimed%20to%20develop%20and%20validate%20open%20data%20standards%20for%20pharmacogenetic%20results%20to%20enable%20interoperability%20across%20healthcare%20systems.%20A%20baseline%20data%20model%20was%20constructed%20using%20the%20open%20standard%20openEHR%20by%20synthesising%20literature%2C%20genomic%20sequencing%20outputs%2C%20and%20international%20data%20specifications%2C%20and%20refined%20through%20iterative%20workshops%20with%20the%20Global%20Alliance%20for%20Genomics%20and%20Health.%20The%20model%20underwent%20two%20rounds%20of%20structured%20peer%20review%20involving%2024%20experts%20from%2010%20countries.%20Mapping%20to%20HL7%20FHIR%20was%20evaluated%20using%20both%20manual%20and%20automated%20approaches%2C%20including%20the%20FHIR-Connect%20tool.%20The%20resulting%20standardised%20pharmacogenetic%20data%20model%20separates%20test%20results%20from%20therapeutic%20implications%20and%20incorporates%20recognised%20terminologies%20such%20as%20SNOMED%20CT%20and%20HGNC.%20It%20achieved%20international%20consensus%20and%20is%20published%20on%20the%20openEHR%20Clinical%20Knowledge%20Manager%20platform.%20Mapping%20to%20HL7%20FHIR%20demonstrated%20bidirectional%20information%20flow%20within%20healthcare%20systems%2C%20with%20automated%20mapping%20enabling%20scalable%20and%20reusable%20transformations.%20This%20work%20provides%20a%20framework%20for%20storing%20and%20exchanging%20pharmacogenetic%20test%20results%2C%20supporting%20semantic%20harmonisation%2C%20interoperability%2C%20and%20integration%20with%20clinical%20decision%20support%20systems.%20Open%20data%20standards%20for%20pharmacogenetic%20test%20results%20therefore%20offer%20a%20foundation%20for%20scalable%20implementation%20of%20pharmacogenetics%20in%20routine%20clinical%20practice.%22%2C%22date%22%3A%222026-06-13%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1038%2Fs41397-026-00418-0%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242285967%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221473-1150%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-06-14T10%3A40%3A51Z%22%7D%7D%2C%7B%22key%22%3A%22LYVNPANH%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Hogstrom%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-10%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BHogstrom%20L%2C%20Laurinavicius%20A%2C%20Alvarez%20MG%2C%20Nakken%20S%2C%20Guldvik%20IJ%2C%20Sanchez%20CM%2C%20Papadodima%20O%2C%20Voutetakis%20K%2C%20M%26amp%3B%23xE6%3Bhle%20PM%2C%20Zerbe%20N%2C%20%26amp%3B%23x160%3Bekerija%20M%2C%20Fullaondo%20A%2C%20Hovig%20E.%20European%20cancer%20data%20sharing%3A%20Analyses%20of%20an%20international%20survey.%20Int%20J%20Med%20Inform.%202026%20June%2010%3B218%3A106544.%20PMID%3A%2042284829%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DLYVNPANH%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22European%20cancer%20data%20sharing%3A%20Analyses%20of%20an%20international%20survey%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Larson%22%2C%22lastName%22%3A%22Hogstrom%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arvydas%22%2C%22lastName%22%3A%22Laurinavicius%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Miguel%20Giraldez%22%2C%22lastName%22%3A%22Alvarez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sigve%22%2C%22lastName%22%3A%22Nakken%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ingrid%20Jenny%22%2C%22lastName%22%3A%22Guldvik%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Carlos%20Miguez%22%2C%22lastName%22%3A%22Sanchez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Olga%22%2C%22lastName%22%3A%22Papadodima%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Konstantinos%22%2C%22lastName%22%3A%22Voutetakis%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Per%20Magnus%22%2C%22lastName%22%3A%22M%C3%A6hle%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Norman%22%2C%22lastName%22%3A%22Zerbe%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mario%22%2C%22lastName%22%3A%22%C5%A0ekerija%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ane%22%2C%22lastName%22%3A%22Fullaondo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Eivind%22%2C%22lastName%22%3A%22Hovig%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20Clinical%20and%20biomarker%20data%20sharing%20across%20institutions%20accelerates%20cancer%20research%2C%20yet%20European%20data%20sharing%20practices%20are%20not%20well%20characterized.%5CnMETHODS%3A%20We%20surveyed%2075%20cancer%20institutions%20across%2023%20European%20countries%20on%20data%20sharing%20practices%2C%20data%20standards%20adoption%2C%20and%20perceived%20challenges.%5CnRESULTS%3A%20Most%20institutions%20%28%26gt%3B80%C2%A0%25%29%20actively%20share%20data%20for%20research.%20However%2C%20adoption%20of%20clinical%20data%20standards%20remains%20fragmented%3A%20only%2033%C2%A0%25%20use%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29%20and%2021%C2%A0%25%20use%20the%20Observational%20Medical%20Outcomes%20Partnership%20%28OMOP%29%20data%20model.%20The%20top%20non-technical%20hurdles%20were%20General%20Data%20Protection%20Regulation%20%28GDPR%29%20compliance%20%2831%C2%A0%25%29%20and%20legal%20challenges%20%2824%C2%A0%25%29.%20The%20leading%20technical%20hurdle%20was%20interoperability%20%2835%C2%A0%25%29.%20Despite%20challenges%2C%2077%C2%A0%25%20of%20institutions%20aim%20to%20expand%20sharing%20capabilities.%5CnCONCLUSIONS%3A%20Among%20those%20surveyed%2C%20GDPR%20compliance%20and%20legal%20complexity%20are%20the%20dominant%20barriers%20to%20European%20cancer%20data%20sharing.%20Inconsistent%20data%20standards%20adoption%20poses%20risks%20to%20European%20Health%20Data%20Space%20%28EHDS%29%20implementation.%20Investments%20in%20legal%20support%2C%20interoperability%2C%20and%20personnel%20are%20needed%20to%20advance%20cancer%20research%20networking.%22%2C%22date%22%3A%222026-06-10%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1016%2Fj.ijmedinf.2026.106544%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242284829%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221872-8243%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-06-14T10%3A41%3A20Z%22%7D%7D%2C%7B%22key%22%3A%22DPHYNKW9%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Soohoo%20et%20al.%22%2C%22parsedDate%22%3A%222026-06%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BSoohoo%20SL%2C%20Keller%20MS%2C%20Chen%20Y%2C%20Hu%20D%2C%20Huang%20SC%2C%20Kuo%20TT%2C%20Leder%20C%2C%20Lu%20X%2C%20Meeker%20D%2C%20Morse%20B%2C%20Moyse%20H%2C%20Nagaraj%20G%2C%20Nguyen%20AT%2C%20Schilling%20LM%2C%20Soares%20A%2C%20Whooley%20MA%2C%20Zheng%20K%2C%20Ohno-Machado%20L.%20Development%20of%20the%20authentication%20and%20authorization%20processes%20for%20the%20iAgree%20portal%2C%20a%20platform%20for%20patient-controlled%20data%20sharing%20across%20health%20systems.%20JAMIA%20Open.%202026%20June%3B9%283%29%3Aooag111.%20PMCID%3A%20PMC13289608%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DDPHYNKW9%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Development%20of%20the%20authentication%20and%20authorization%20processes%20for%20the%20iAgree%20portal%2C%20a%20platform%20for%20patient-controlled%20data%20sharing%20across%20health%20systems%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Spencer%20L.%22%2C%22lastName%22%3A%22Soohoo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michelle%20Sophie%22%2C%22lastName%22%3A%22Keller%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yunan%22%2C%22lastName%22%3A%22Chen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Di%22%2C%22lastName%22%3A%22Hu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shao-Chi%22%2C%22lastName%22%3A%22Huang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tsung-Ting%22%2C%22lastName%22%3A%22Kuo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chloe%22%2C%22lastName%22%3A%22Leder%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Xi%22%2C%22lastName%22%3A%22Lu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniela%22%2C%22lastName%22%3A%22Meeker%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Brad%22%2C%22lastName%22%3A%22Morse%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Harold%22%2C%22lastName%22%3A%22Moyse%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gayathri%22%2C%22lastName%22%3A%22Nagaraj%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22An%20T.%22%2C%22lastName%22%3A%22Nguyen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lisa%20M.%22%2C%22lastName%22%3A%22Schilling%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrey%22%2C%22lastName%22%3A%22Soares%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mary%20A.%22%2C%22lastName%22%3A%22Whooley%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kai%22%2C%22lastName%22%3A%22Zheng%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lucila%22%2C%22lastName%22%3A%22Ohno-Machado%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVE%3A%20To%20develop%20the%20authentication%20and%20authorization%20module%20for%20iAgree%2C%20a%20privacy-preserving%20platform%20that%20enables%20patients%20to%20manage%20consent%20preferences%20and%20share%20electronic%20health%20record%20%28EHR%29%20data%20across%20multiple%20health%20systems%20with%20researchers.%20The%20consent%20and%20blockchain%20modules%20are%20described%20elsewhere.%5CnMATERIALS%20AND%20METHODS%3A%20We%20developed%20the%20authentication%20and%20authorization%20module%20of%20iAgree.%20This%20module%20supports%20account%20creation%20and%20cross-institution%20identity%20binding%20as%20part%20of%20the%20iAgree%20workflow%20to%20enable%20patients%20to%20authenticate%20using%20federated%20credentials%20%28eg%2C%20Google%2C%20Facebook%29.%20Patients%20link%20their%20identities%20across%20institutions%20by%20signing%20into%20each%20participating%20health%20system%26apos%3Bs%20patient%20portal.%20Identity%20attributes%20retrieved%20via%20a%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%C2%AE%29%20application%20programming%20interface%20%28API%29%20are%20cryptographically%20transformed%20into%20de-identified%20tokens%20so%20no%20raw%20identifiers%20are%20stored.%20Consent%20preferences%20are%20recorded%20immutably%20using%20blockchain%20technology.%20iAgree%20guides%20patients%20through%20account%20creation%2C%20cross-institution%20identity%20binding%2C%20and%20selection%20of%20granular%20data-sharing%20preferences.%20In%20this%20paper%2C%20we%20describe%20the%20design%20and%20implementation%20of%20the%20authentication%20and%20authorization%20modules%2C%20not%20the%20full%20workflow%20of%20the%20platform.%5CnRESULTS%3A%20We%20installed%20the%20iAgree%20platform%20in%20a%20test%20or%20proof-of-concept%20environment%20at%20three%20health%20systems%3A%20Cedars-Sinai%20Medical%20Center%2C%20University%20of%20Colorado%2C%20and%20University%20of%20California%2C%20San%20Francisco.%20Functional%20testing%20with%20test%20patients%20demonstrated%20that%20authentication%2C%20identity%20binding%2C%20and%20secure%20multi-site%20record%20linkage%20could%20safely%20bind%20the%20identities%20of%20patients%20across%20sites%2C%20enabling%20patients%20to%20manage%20their%20data%20sharing%20consent%20preferences.%5CnDISCUSSION%3A%20The%20results%20demonstrate%20the%20feasibility%20of%20a%20privacy-preserving%20multi-institutional%20data-sharing%20architecture%20that%20employs%20federated%20login%2C%20secure%20privacy-preserving%20multi-site%20record%20linkage%2C%20and%20blockchain-based%20consent%20tracking%20to%20align%20with%20privacy%20regulations%20while%20increasing%20transparency%20and%20patient%20autonomy.%5CnCONCLUSION%3A%20This%20effort%20demonstrated%20that%20the%20authentication%20and%20authorization%20module%20enables%20iAgree%20to%20be%20a%20feasible%20and%20secure%20platform%20for%20patient-directed%20sharing%20of%20EHR%20data%20across%20health%20systems%20with%20researchers.%20Future%20work%20will%20evaluate%20usability%2C%20patient%20engagement%2C%20and%20future%20real-world%20deployment.%22%2C%22date%22%3A%222026-06%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1093%2Fjamiaopen%2Fooag111%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242344107%22%2C%22PMCID%22%3A%22PMC13289608%22%2C%22ISSN%22%3A%222574-2531%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-06-29T10%3A25%3A06Z%22%7D%7D%2C%7B%22key%22%3A%227G9XIHQJ%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Eapen%20et%20al.%22%2C%22parsedDate%22%3A%222026-06%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BEapen%20BR%2C%20Adaramewa%20OM%2C%20Li%20X.%20LLM-in-the-Loop%20execution%20of%20clinical%20quality%20language.%20JAMIA%20Open.%202026%20June%3B9%283%29%3Aooag099.%20PMCID%3A%20PMC13264386%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D7G9XIHQJ%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22LLM-in-the-Loop%20execution%20of%20clinical%20quality%20language%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bell%20Raj%22%2C%22lastName%22%3A%22Eapen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Oladimeji%20M.%22%2C%22lastName%22%3A%22Adaramewa%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Xiaoqing%22%2C%22lastName%22%3A%22Li%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVE%3A%20We%20present%20a%20method%20and%20open-source%20prototype%20to%20augment%20Clinical%20Quality%20Language%20%28CQL%29%20using%20a%20large%20language%20model%20%28LLM%29%20in%20the%20execution%20loop%20for%20querying%20unstructured%20text.%5CnMATERIALS%20AND%20METHODS%3A%20We%20modified%20a%20popular%20CQL%20engine%20to%20trigger%20an%20LLM-in-the-Loop%20pipeline%20%28LitL%29%20whenever%20CQL%20references%20unstructured%20FHIR%20resources%2C%20without%20altering%20the%20existing%20structured%20resource%20handling.%20LitL%20generates%20a%20binary%20response%20to%20natural%20language%20queries%20from%20CQL%20using%20an%20LLM.%5CnRESULTS%3A%20We%20present%20an%20open-source%20prototype%20that%20includes%3A%20an%20implementation%20of%20the%20LitL%20pattern%2C%20and%20a%20modified%20CQL%20execution%20engine%20that%20triggers%20LitL%20for%20unstructured%20data.%20The%20feasibility%20testing%20with%20two%20locally%20hosted%20LLMs%20achieved%20an%20accuracy%20of%2072%25%20and%2093%25%20respectively.%20An%20end-to-end%20prototype%20is%20provided%20to%20facilitate%20implementation%20with%20configurable%20models%2C%20prompts%20and%20hyperparameters.%5CnCONCLUSION%3A%20The%20LitL%20pattern%20extends%20CQL%20to%20unstructured%20data%2C%20preserving%20compatibility%20with%20existing%20CQL%20and%20reducing%20hallucination.%20All%20components%20of%20the%20prototype%20are%20free%20and%20open%20source.%22%2C%22date%22%3A%222026-06%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1093%2Fjamiaopen%2Fooag099%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242290925%22%2C%22PMCID%22%3A%22PMC13264386%22%2C%22ISSN%22%3A%222574-2531%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-06-22T15%3A26%3A24Z%22%7D%7D%2C%7B%22key%22%3A%222L57I2PS%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Jiao%20et%20al.%22%2C%22parsedDate%22%3A%222026-06%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BJiao%20A%2C%20Hussain%20M%2C%20Sippel%20Schmidt%20T%2C%20Hutson%20K%2C%20Magudia%20K%2C%20Wiggins%20W%2C%20Dhami%20A%2C%20Tejani%20A%2C%20Jo%20N%2C%20Duvvuri%20M%2C%20Gandhi%20N%2C%20Prevedello%20L%2C%20Heilbrun%20ME%2C%20Andriole%20KP.%20Radiology%20Reimagined%3A%20Interoperability%20and%20Lessons%20Learned%20from%20the%20Imaging%20AI%20in%20Practice%20Demonstration.%20Radiology.%202026%20June%3B319%283%29%3Ae252225.%20PMID%3A%2042301015%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D2L57I2PS%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Radiology%20Reimagined%3A%20Interoperability%20and%20Lessons%20Learned%20from%20the%20Imaging%20AI%20in%20Practice%20Demonstration%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Albert%22%2C%22lastName%22%3A%22Jiao%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mohannad%22%2C%22lastName%22%3A%22Hussain%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Teri%22%2C%22lastName%22%3A%22Sippel%20Schmidt%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kent%22%2C%22lastName%22%3A%22Hutson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kirti%22%2C%22lastName%22%3A%22Magudia%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Walter%22%2C%22lastName%22%3A%22Wiggins%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alysha%22%2C%22lastName%22%3A%22Dhami%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ali%22%2C%22lastName%22%3A%22Tejani%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nahyun%22%2C%22lastName%22%3A%22Jo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Madhavi%22%2C%22lastName%22%3A%22Duvvuri%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Namita%22%2C%22lastName%22%3A%22Gandhi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Luciano%22%2C%22lastName%22%3A%22Prevedello%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marta%20E.%22%2C%22lastName%22%3A%22Heilbrun%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Katherine%20P.%22%2C%22lastName%22%3A%22Andriole%22%7D%5D%2C%22abstractNote%22%3A%22The%20Radiology%20Reimagined%20demonstration%2C%20formerly%20known%20as%20Imaging%20AI%20in%20Practice%2C%20is%20presented%20at%20the%20Radiological%20Society%20of%20North%20America%20%28RSNA%29%20Annual%20Meeting.%20It%20highlights%20how%20interoperability%20and%20semantic%20standards%20can%20facilitate%20the%20integration%20of%20artificial%20intelligence%20%28AI%29%20into%20radiology%20workflows.%20This%20integration%20encompasses%20examination%20ordering%2C%20scheduling%2C%20protocoling%2C%20image%20acquisition%2C%20examination%20interpretation%2C%20reporting%2C%20results%20communication%2C%20follow-up%2C%20and%20billing.%20Since%202020%2C%20Radiology%20Reimagined%20has%20become%20a%20prominent%20feature%20of%20the%20RSNA%20Annual%20Meeting%2C%20showcasing%20AI%26apos%3Bs%20role%20in%20clinical%20imaging%20workflows.%20The%20demonstration%20fosters%20collaboration%20between%20radiology%20and%20industry%20vendor%20partners%2C%20promoting%20the%20adoption%20of%20standards%20such%20as%20Digital%20Imaging%20and%20Communications%20in%20Medicine%2C%20Health%20Level%207%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29%2C%20and%20Integrating%20the%20Healthcare%20Enterprise%20profiles.%20Realistic%20clinical%20scenarios%20demonstrate%20the%20utility%20and%20challenges%20of%20integrating%20AI%20tools%20into%20point-of-care%20systems.%20The%20complexity%20of%20Radiology%20Reimagined%20scenarios%20has%20increased%2C%20from%20simple%20pulmonary%20nodule%20and%20intracranial%20hemorrhage%20detection%20in%202020%20to%20prostate%20MRI%20interpretation%20and%20amyloid-related%20imaging%20abnormality%20detection%20in%202024.%20Each%20year%2C%20more%20than%2020%20unique%20vendor%20partners%20participate%2C%20progressively%20incorporating%20new%20standards%20such%20as%20Integrated%20Multimedia%20Reporting%20in%202023%20and%20improved%20support%20for%20FHIRcast%20%28which%20synchronizes%20health%20care%20applications%20in%20real%20time%29%20in%202024.%20Participants%20learn%20how%20to%20facilitate%20interoperability%20and%20integrate%20software%20into%20their%20clinical%20workflows%2C%20with%20an%20emphasis%20on%20practical%20advice%20and%20key%20considerations.%20Future%20iterations%20of%20the%20demonstration%20will%20aim%20to%20expand%20attendee%20engagement%2C%20formalize%20quantitative%20feedback%2C%20and%20broaden%20the%20use%20of%20emerging%20standards.%20Videos%20of%20the%20annual%20demonstrations%20are%20available%20on%20the%20RSNA%20website.%22%2C%22date%22%3A%222026-06%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1148%2Fradiol.252225%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242301015%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221527-1315%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-06-22T15%3A25%3A56Z%22%7D%7D%2C%7B%22key%22%3A%22EYHYEBFN%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22App%20et%20al.%22%2C%22parsedDate%22%3A%222026-06%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BApp%20SJ%2C%20Meyer%20AM%2C%20Silkensen%20S%2C%20Hudson%20C%2C%20Inman%20I%2C%20Niedner%20RH%2C%20Sincan%20M%2C%20Shaalan%20Beg%20M%2C%20Topaloglu%20U.%20Follow%20the%20data%3A%20tracking%20data%20quality%20and%20completeness%20in%20oncology%20real-world%20data.%20JAMIA%20Open.%202026%20June%3B9%283%29%3Aooag052.%20PMCID%3A%20PMC13143418%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DEYHYEBFN%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Follow%20the%20data%3A%20tracking%20data%20quality%20and%20completeness%20in%20oncology%20real-world%20data%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Samantha%20J.%22%2C%22lastName%22%3A%22App%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anne-Marie%22%2C%22lastName%22%3A%22Meyer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shannon%22%2C%22lastName%22%3A%22Silkensen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Cody%22%2C%22lastName%22%3A%22Hudson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Inez%22%2C%22lastName%22%3A%22Inman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22R.%20Hannes%22%2C%22lastName%22%3A%22Niedner%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Murat%22%2C%22lastName%22%3A%22Sincan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Muhammad%22%2C%22lastName%22%3A%22Shaalan%20Beg%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Umit%22%2C%22lastName%22%3A%22Topaloglu%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVES%3A%20Electronic%20Health%20Record%20%28EHR%29%20data%20are%20increasingly%20used%20in%20cancer%20research%2C%20yet%20the%20fidelity%20of%20this%20data%20when%20exchanged%20between%20systems%20remains%20poorly%20quantified.%20This%20study%20investigated%20the%20agreement%20in%20essential%20biomarker%20data%20after%20they%20are%20passed%20from%20the%20EHR%20into%20the%20cancer%20registry%20and%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29%20extracts.%5CnMATERIALS%20AND%20METHODS%3A%20This%20single-institution%20retrospective%20study%20compared%20demographics%20and%206%20biomarkers%20from%2030%20lung%20cancer%20patients%20seen%20between%20July%202020%20and%20July%202022.%20Manual%20review%20from%20the%20EHR%20served%20as%20the%20gold%20standard%2C%20with%20concordance%20tested%20between%20the%20source%20EHR%2C%20Institutional%20Cancer%20Registry%2C%20and%20FHIR%20exports.%5CnRESULTS%3A%20Demographics%20showed%20high%20concordance%20across%20databases.%20In%20contrast%2C%20biomarker%20data%20present%20in%20the%20source%20EHR%20were%20missing%20in%2080%25-100%25%20of%20FHIR%20extracts.%20The%20demographic%20registry%20variables%20were%20highly%20concordant.%5CnDISCUSSION%3A%20This%20study%20reports%20a%20significant%20loss%20in%20biomarker%20data%20availability%20across%20real-world%20data%20%28RWD%29%20sources.%20Results%20underscore%20critical%20gaps%20in%20RWD%20extraction%20or%20exchange%20methods%20and%20highlight%20risks%20of%20relying%20on%20RWD%20without%20validation.%22%2C%22date%22%3A%222026-06%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1093%2Fjamiaopen%2Fooag052%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242094802%22%2C%22PMCID%22%3A%22PMC13143418%22%2C%22ISSN%22%3A%222574-2531%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-10T10%3A17%3A52Z%22%7D%7D%2C%7B%22key%22%3A%223BGWSVRM%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Cheng%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-29%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BCheng%20AC%2C%20Banasiewicz%20MK%2C%20Gibbs%20KW%2C%20Briceno%20G%2C%20Iadanza%20D%2C%20Khan%20A%2C%20Landreth%20L%2C%20de%20Veer%20B%2C%20Moyer%20EL%2C%20Seitz%20KP%2C%20Johnson%20JD%2C%20Delacqua%20F%2C%20Lewis%20AA%2C%20Collins%20SP%2C%20Self%20WH%2C%20Shotwell%20MS%2C%20Lindsell%20CJ%2C%20Casey%20JD%2C%20Harris%20PA.%20Multisite%20evaluation%20of%20automated%20electronic%20case%20report%20form%20data%20entry%20from%20electronic%20health%20records.%20J%20Biomed%20Inform.%202026%20May%2029%3B105060.%20PMID%3A%2042217712%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D3BGWSVRM%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Multisite%20evaluation%20of%20automated%20electronic%20case%20report%20form%20data%20entry%20from%20electronic%20health%20records%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alex%20C.%22%2C%22lastName%22%3A%22Cheng%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mary%20K.%22%2C%22lastName%22%3A%22Banasiewicz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kevin%20W.%22%2C%22lastName%22%3A%22Gibbs%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Genesis%22%2C%22lastName%22%3A%22Briceno%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dena%22%2C%22lastName%22%3A%22Iadanza%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Akram%22%2C%22lastName%22%3A%22Khan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Leigha%22%2C%22lastName%22%3A%22Landreth%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bas%22%2C%22lastName%22%3A%22de%20Veer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elizabeth%20L.%22%2C%22lastName%22%3A%22Moyer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kevin%20P.%22%2C%22lastName%22%3A%22Seitz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jakea%20D.%22%2C%22lastName%22%3A%22Johnson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Francesco%22%2C%22lastName%22%3A%22Delacqua%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Adam%20A.%22%2C%22lastName%22%3A%22Lewis%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sean%20P.%22%2C%22lastName%22%3A%22Collins%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Wesley%20H.%22%2C%22lastName%22%3A%22Self%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Matthew%20S.%22%2C%22lastName%22%3A%22Shotwell%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%20J.%22%2C%22lastName%22%3A%22Lindsell%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jonathan%20D.%22%2C%22lastName%22%3A%22Casey%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Paul%20A.%22%2C%22lastName%22%3A%22Harris%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVE%3A%20Multicenter%20clinical%20trials%20often%20abstract%20data%20from%20the%20electronic%20health%20record%20%28EHR%29%20onto%20a%20case%20report%20form%20%28CRF%29%20via%20an%20electronic%20data%20capture%20%28EDC%29%20system.%20The%20abstraction%20process%20is%20manual%2C%20time-consuming%2C%20and%20error%20prone.%20We%20evaluated%20scaling%20automated%20CRF%20completion%20from%20one%20institution%20to%20other%20sites%20in%20a%20multicenter%20trial.%5CnMETHODS%3A%20We%20exported%20a%20REDCap%20project%20with%20embedded%20EHR%20mapping%20for%20a%20completed%20platform%20trial%20from%20one%20institution%20and%20delivered%20it%20to%20two%20other%20study%20sites.%20The%20receiving%20sites%20determined%20whether%20additional%20data%20elements%20could%20be%20mapped%20for%20their%20institution.%20We%20measured%20the%20proportion%20of%20data%20entry%20that%20could%20be%20automated%2C%20the%20extent%20of%20agreement%20between%20the%20human-%20and%20automation-entered%20data%2C%20and%20the%20staff%20effort%20required%20to%20set%20up%20automated%20CRF%20completion.%5CnRESULTS%3A%20It%20took%20approximately%2026%20and%2015%E2%80%AFh%20to%20set%20up%20automation%20and%20to%20map%20data%20from%20the%20EHR%20systems%20at%20the%20two%20receiving%20institutions%2C%20respectively.%20For%2020%20total%20participants%20at%20the%20two%20receiving%20institutions%2C%20out%20of%204404%20fields%20with%20human-entered%20data%2C%20using%20CDIS%20could%20have%20prevented%20764%20data%20entry%20errors%20that%20persisted%20after%20monitoring%20and%20would%20have%20saved%2017%20total%20hours%20or%2051%E2%80%AFmin%20per%20participant%20of%20manual%20data%20entry%20time.%5CnCONCLUSION%3A%20With%20these%20initial%20estimates%20of%20the%20configuration%20and%20data%20re-mapping%20time%20required%20to%20scale%20automated%20CRF%20completion%20and%20impact%20on%20data%20quality%2C%20investigators%20planning%20multicenter%20trials%20are%20better%20positioned%20to%20determine%20when%20benefits%20of%20automation%20outweigh%20the%20expense%20of%20manual%20data%20abstraction%20for%20clinical%20trials.%22%2C%22date%22%3A%222026-05-29%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1016%2Fj.jbi.2026.105060%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242217712%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221532-0480%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-31T12%3A27%3A11Z%22%7D%7D%2C%7B%22key%22%3A%22H8P65D2L%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Braga%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-25%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BBraga%20RD%2C%20Leitao-Junior%20PS%2C%20Castilho%20SB%2C%20Souza%20DA%2C%20Oliveira%20LB%2C%20Oliveira%20MLD%2C%20Esmeraldo%20LL%2C%20Tibiri%26amp%3B%23xE7%3B%26amp%3B%23xE1%3B%20CAG%2C%20Guimar%26amp%3B%23xE3%3Bes%20DF%2C%20Nogueira%20AR%2C%20Vilela%20LM%2C%20Ribeiro-Rotta%20RF%2C%20Lucena%20FN%2C%20Souza-Zinader%20JP.%20Prenatal%20monitoring%20in%20primary%20health%20care%3A%20a%20design%20science%20research-based%20approach%20to%20FHIR%20interoperability.%20J%20Biomed%20Semantics.%202026%20May%2025%3B%20PMID%3A%2042185933%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DH8P65D2L%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Prenatal%20monitoring%20in%20primary%20health%20care%3A%20a%20design%20science%20research-based%20approach%20to%20FHIR%20interoperability%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Renata%20D.%22%2C%22lastName%22%3A%22Braga%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Plinio%20S.%22%2C%22lastName%22%3A%22Leitao-Junior%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Suse%20B.%22%2C%22lastName%22%3A%22Castilho%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dandra%20A.%22%2C%22lastName%22%3A%22Souza%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lismary%20B.%22%2C%22lastName%22%3A%22Oliveira%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%20L.%20D.%22%2C%22lastName%22%3A%22Oliveira%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Luiselena%20L.%22%2C%22lastName%22%3A%22Esmeraldo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Carlos%20A.%20G.%22%2C%22lastName%22%3A%22Tibiri%C3%A7%C3%A1%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Diana%20F.%22%2C%22lastName%22%3A%22Guimar%C3%A3es%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aline%20R.%22%2C%22lastName%22%3A%22Nogueira%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Livia%20M.%22%2C%22lastName%22%3A%22Vilela%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rejane%20F.%22%2C%22lastName%22%3A%22Ribeiro-Rotta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fabio%20N.%22%2C%22lastName%22%3A%22Lucena%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Juliana%20P.%22%2C%22lastName%22%3A%22Souza-Zinader%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20This%20research%20addresses%20the%20development%20and%20validation%20of%20an%20information%20model%20for%20pregnancy%20monitoring%20that%2C%20through%20the%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29%20specification%2C%20seeks%20to%20promote%20interoperability%20for%20the%20quality%20of%20prenatal%20care%20by%20multidisciplinary%20teams%20in%20Brazilian%20primary%20healthcare%20contexts.%20The%20Design%20Science%20Research%20%28DSR%29%20approach%20is%20applied%20to%20propose%20and%20evaluate%20the%20model%2C%20through%20quality%20strategies%2C%20where%20iterations%20increase%20the%20mode%20maturity%20in%20accordance%20with%20healthcare%20scenarios.%5CnRESULTS%3A%20A%20set%20of%20use%20cases%20is%20constructed%20from%20user%20stories%20in%20primary%20care%20that%20abstract%20health%20concepts%20for%20pregnancy%20monitoring.%20The%20information%20model%20is%20presented%20in%20a%20hierarchical%20structure%2C%20with%20the%20categorization%20of%20related%20concepts%20grouped%20into%20pillars%2C%20in%20the%20context%20of%20the%20integration%20of%20health%20professionals%20who%20work%20in%20a%20complementary%20manner.%20The%20traceability%20of%20the%20use%20cases%20in%20relation%20to%20the%20semantic%20pillars%20of%20the%20information%20model%2C%20the%20implementation%20of%20the%20model%20from%20a%20FHIR%20perspective%2C%20and%20how%20the%20model%20complies%20with%20the%20ISO%2013972%3A2022%20standard%20%28Health%20informatics%20-%20Clinical%20information%20models%20-%20Characteristics%2C%20structures%20and%20requirements%29%20are%20analyzed.%5CnCONCLUSIONS%3A%20This%20work%20makes%20several%20key%20contributions%2C%20starting%20with%20the%20development%20of%20an%20information%20model%20for%20pregnancy%20monitoring.%20This%20model%20integrates%20different%20areas%20of%20primary%20care%20to%20promote%20a%20holistic%20and%20personalized%20approach%20to%20prenatal%20care.%20To%20ensure%20data%20can%20be%20shared%20effectively%2C%20it%20establishes%20health%20information%20interoperability%20using%20the%20HL7%20FHIR%20R4%20standard%2C%20which%20involved%20mapping%20resources%20and%20creating%20profiles%20as%20specified%20in%20an%20implementation%20guide.%20The%20study%20rigorously%20applies%20the%20Design%20Science%20Research%20method%2C%20utilizing%20multidisciplinary%20consensus%20strategies%20to%20scientifically%20improve%20and%20evolve%20the%20information%20model.%22%2C%22date%22%3A%222026-05-25%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1186%2Fs13326-026-00356-7%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242185933%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222041-1480%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-31T12%3A27%3A30Z%22%7D%7D%2C%7B%22key%22%3A%2254GKD3EE%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Avakian%22%2C%22parsedDate%22%3A%222026-05-22%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BAvakian%20A.%20Vision-language%20models%20as%20an%20integrative%20layer%20for%20clinical%20artificial%20intelligence%20in%20radiology%3A%20A%20systems-level%20perspective.%20Clin%20Imaging.%202026%20May%2022%3B136%3A110841.%20PMID%3A%2042176405%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D54GKD3EE%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Vision-language%20models%20as%20an%20integrative%20layer%20for%20clinical%20artificial%20intelligence%20in%20radiology%3A%20A%20systems-level%20perspective%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amy%22%2C%22lastName%22%3A%22Avakian%22%7D%5D%2C%22abstractNote%22%3A%22Clinical%20adoption%20of%20artificial%20intelligence%20%28AI%29%20in%20radiology%20has%20matured%20through%20task-specific%20tools%20for%20detection%2C%20segmentation%2C%20triage%2C%20and%20quantitative%20measurement%2C%20yet%20most%20deployed%20systems%20operate%20as%20isolated%20applications%20with%20distinct%20interfaces%20and%20limited%20clinical%20context.%20Vision-language%20models%20%28VLMs%29%2C%20which%20jointly%20represent%20visual%20and%20textual%20information%2C%20offer%20a%20potential%20remedy.%20This%20review%20proposes%20that%20VLMs%20are%20most%20plausibly%20valuable%20as%20a%20downstream%20semantic%20layer%20on%20top%20of%20existing%20orchestration%20infrastructure%2C%20consuming%20structured%20outputs%20from%20task-specific%20models%20and%20clinical%20context%20to%20produce%20clinically%20interpretable%20summaries.%20We%20position%20this%20proposal%20against%20rule-based%20orchestration%20middleware%2C%20structured%20reporting%20standards%20%28DICOM%20SR%2C%20HL7%20FHIR%29%2C%20and%20medical%20knowledge%20graphs%2C%20and%20identify%20three%20capabilities%20VLMs%20uniquely%20add%20and%20three%20where%20they%20currently%20underperform.%20A%20critical%20appraisal%20of%20three%20state-of-the-art%20systems%3A%20MAIRA-2%2C%20RadioRAG%2C%20and%20a%20representative%20vision-language%20foundation%20model%2C%20reveals%20that%20even%20the%20best-performing%20radiology%20VLMs%20exhibit%20logical%20precision%20of%20only%20~52-56%25%20on%20primary%20benchmarks%2C%20model-dependent%20retrieval%20gains%20that%20can%20collapse%20to%20zero%2C%20fourfold%20latency%20increases%2C%20and%20systematic%20demographic%20bias%20exceeding%20that%20of%20board-certified%20radiologists.%20We%20discuss%20technical%20requirements%20for%20implementation%3A%20interoperability%2C%20conflict%20arbitration%2C%20provenance%20tagging%2C%20hallucination%20mitigation%2C%20latency%2C%20and%20regulatory%20classification%20under%20adaptive-AI%20frameworks.%20We%20argue%20throughout%20that%20most%20capabilities%20described%20remain%20at%20research%20or%20early-pilot%20stage%2C%20and%20that%20the%20value%20of%20VLMs%20lies%20in%20filling%20a%20specific%20coordination%20gap%20rather%20than%20in%20subsuming%20existing%20integration%20layers.%22%2C%22date%22%3A%222026-05-22%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1016%2Fj.clinimag.2026.110841%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242176405%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221873-4499%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A08%3A58Z%22%7D%7D%2C%7B%22key%22%3A%22SQGS3DLH%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Eapen%20and%20Singh%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BEapen%20BR%2C%20Singh%20N.%20Navigating%20the%20%26amp%3B%23x201C%3BValley%20of%20Death%26amp%3B%23x201D%3B%3A%20An%20Open-Source%2C%20Modular%20Framework%20for%20Generative%20AI%20in%20Healthcare.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1561%26amp%3B%23x2013%3B1562.%20PMID%3A%2042175143%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DSQGS3DLH%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Navigating%20the%20%5C%22Valley%20of%20Death%5C%22%3A%20An%20Open-Source%2C%20Modular%20Framework%20for%20Generative%20AI%20in%20Healthcare%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bell%20Raj%22%2C%22lastName%22%3A%22Eapen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Neetu%22%2C%22lastName%22%3A%22Singh%22%7D%5D%2C%22abstractNote%22%3A%22Generative%20AI%20%28GenAI%29%20adoption%20remains%20limited%2C%20particularly%20in%20under-resourced%20settings%2C%20despite%20its%20many%20applications.%20This%20disparity%20arises%20from%20fragmented%20integration%2C%20privacy%20concerns%2C%20and%20the%20translational%20gap%20%28often%20called%20the%20%26quot%3BValley%20of%20Death%26quot%3B%29.%20To%20address%20these%20barriers%2C%20we%20propose%20a%20modular%20reference%20architecture%20and%20implementation%20tools%20for%20health%20organizations%20to%20orchestrate%20GenAI.%20The%20architecture%20encompasses%20locally%20hosted%20LLMs%2C%20containerized%20GenAI%20and%20user%20interface%20%28UI%29%20modules%2C%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29%20based%20interfaces%2C%20and%20built-in%20observability.%20Furthermore%2C%20we%20present%20an%20initial%20open-source%20prototype%20that%20includes%20the%20supporting%20tools%20and%20exemplar%20modules.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260471%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175143%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A11%3A14Z%22%7D%7D%2C%7B%22key%22%3A%22MAK75C5B%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Hochwarter%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BHochwarter%20S%2C%20Stampfer%20P%2C%20Truskaller%20T%2C%20Feichtner%20F.%20PreNUDGE%3A%20A%20Platform%20Ecosystem%20for%20Digital%20Prevention.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1581%26amp%3B%23x2013%3B1582.%20PMID%3A%2042175153%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DMAK75C5B%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22PreNUDGE%3A%20A%20Platform%20Ecosystem%20for%20Digital%20Prevention%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefan%22%2C%22lastName%22%3A%22Hochwarter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Philip%22%2C%22lastName%22%3A%22Stampfer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%22%2C%22lastName%22%3A%22Truskaller%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Franz%22%2C%22lastName%22%3A%22Feichtner%22%7D%5D%2C%22abstractNote%22%3A%22Non-communicable%20diseases%20remain%20the%20leading%20cause%20of%20morbidity%20and%20mortality%20across%20Europe%2C%20yet%20preventive%20efforts%20are%20often%20fragmented%20and%20underutilized.%20In%20Austria%2C%20high%20life%20expectancy%20contrasts%20with%20relatively%20few%20healthy%20life%20years%2C%20underscoring%20the%20need%20for%20innovative%20prevention%20strategies.%20The%20PreNUDGE%20project%20aims%20to%20build%20a%20qualified%20and%20interoperable%20platform%20ecosystem%20for%20prevention%20that%20integrates%20health%20apps%2C%20structured%20data%2C%20and%20behavioral%20nudges.%20The%20platform%20design%20follows%20principles%20of%20platform%20ecosystems%2C%20interoperability%20standards%20such%20as%20HL7%20FHIR%2C%20and%20public%20health%20insights%20from%20nudging%20theory.%20Initial%20results%20include%20the%20integration%20of%20four%20qualified%20prevention%20apps%20addressing%20diabetes%2C%20mental%20health%2C%20COPD%2C%20and%20colon%20cancer%2C%20as%20well%20as%20the%20development%20of%20governance%20processes%20for%20app%20qualification%20and%20data%20use.%20PreNUDGE%20demonstrates%20the%20potential%20of%20digital%20ecosystems%20to%20connect%20citizen-generated%20data%20with%20healthcare%20and%20research%2C%20supporting%20evidence-based%20prevention%2C%20secondary%20use%20of%20health%20data%2C%20and%20a%20shift%20toward%20preventive%20care%20in%20Austria.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260481%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175153%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A11%3A08Z%22%7D%7D%2C%7B%22key%22%3A%22DQ22BWE4%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Shin%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BShin%20D%2C%20Park%20M%2C%20Yoon%20HJ.%20A%20Web3-Based%20Patient-Centric%20Health%20Data%20Management%20System.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1585%26amp%3B%23x2013%3B1586.%20PMID%3A%2042175155%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DDQ22BWE4%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20Web3-Based%20Patient-Centric%20Health%20Data%20Management%20System%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dongjae%22%2C%22lastName%22%3A%22Shin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Minseon%22%2C%22lastName%22%3A%22Park%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Hyung-Jin%22%2C%22lastName%22%3A%22Yoon%22%7D%5D%2C%22abstractNote%22%3A%22This%20paper%20presents%20a%20Web3-based%20healthcare%20system%20integrated%20with%20the%20Republic%20of%20Korea%26apos%3Bs%20MyHealthWay%20platform%20for%20secure%20and%20user-controlled%20management%20of%20personal%20health%20data.%20The%20system%20combines%20decentralized%20identifiers%2C%20smart%20contracts%2C%20distributed%20storage%2C%20and%20the%20HL7%20FHIR%20standard%20to%20support%20decentralized%20authentication%2C%20access%20control%2C%20and%20interoperability.%20A%20conceptual%20demonstrator%2C%20HealthCube%2C%20validates%20feasibility%20by%20enabling%20privacy-preserving%20health%20data%20processing%20through%20computation%20on%20encrypted%20data%20without%20exposing%20original%20information.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260483%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175155%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A10%3A59Z%22%7D%7D%2C%7B%22key%22%3A%22ASPJVPFA%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Sawa%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BSawa%20T%2C%20Sakurai%20R%2C%20Ohe%20K.%20HeXEHRS%3A%20Design%20and%20Implementation%20of%20a%20FHIR-Based%20Cloud%20EHR%20and%20Client%20for%20Depopulated%20Regions%20with%20AI%20and%20Digital-Twin%20Integration.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1601%26amp%3B%23x2013%3B1602.%20PMID%3A%2042175163%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DASPJVPFA%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22HeXEHRS%3A%20Design%20and%20Implementation%20of%20a%20FHIR-Based%20Cloud%20EHR%20and%20Client%20for%20Depopulated%20Regions%20with%20AI%20and%20Digital-Twin%20Integration%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tomohiro%22%2C%22lastName%22%3A%22Sawa%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ryota%22%2C%22lastName%22%3A%22Sakurai%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kazuhiko%22%2C%22lastName%22%3A%22Ohe%22%7D%5D%2C%22abstractNote%22%3A%22Japan%26apos%3Bs%20national%20initiative%20for%20scientific%20infrastructure%20emphasizes%20equitable%20healthcare%20delivery%20in%20depopulated%20regions%20facing%20rapid%20aging%20and%20physician%20shortages.%20To%20address%20these%20challenges%2C%20we%20developed%20HeXEHRS%2C%20a%20cloud-based%20electronic%20health%20record%20%28EHR%29%20platform%20built%20on%20HL7%20FHIR%20%28R4%29%20and%20aligned%20with%20JP%20Core%20profiles%2C%20serving%20as%20a%20reference%20implementation%20for%20Japanese%20clinics.%20HeXEHRS%20consists%20of%20a%20production-grade%20FHIR%20cloud%20server%20with%20native%20JP%20Core%20validation%20and%20terminology%20services%20and%20a%20standards-compliant%20client%20implemented%20with%20Svelte%2C%20supporting%20registration%2C%20documentation%2C%20ordering%2C%20and%20scheduling%20workflows.%20Integrated%20AI%20and%20digital-twin%20connectors%20enable%20summarization%2C%20speech%20recognition%2C%20and%20PHR%20integration.%20While%20prioritizing%20Japan%26apos%3Bs%20underserved%20areas%2C%20the%20architecture%20is%20applicable%20to%20clinics%20nationwide%20and%20offers%20a%20globally%20applicable%20approach%20to%20extend%20sustainable%2C%20interoperable%20healthcare%20services%20in%20remote%20or%20resource-limited%20regions%20worldwide.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260491%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175163%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A10%3A51Z%22%7D%7D%2C%7B%22key%22%3A%22TFBIEA2B%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Enamorado%20D%C3%ADaz%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BEnamorado%20D%26amp%3B%23xED%3Baz%20E%2C%20Garc%26amp%3B%23xED%3Ba-Garc%26amp%3B%23xED%3Ba%20JA%2C%20Escalona%20MJ%2C%20Thomaschewski%20J.%20Exploring%20Virtual%20Healthcare%20Scenarios%20Through%20Model-Driven%20Healthcare%20Engineering.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1611%26amp%3B%23x2013%3B1612.%20PMID%3A%2042175168%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DTFBIEA2B%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Exploring%20Virtual%20Healthcare%20Scenarios%20Through%20Model-Driven%20Healthcare%20Engineering%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elena%22%2C%22lastName%22%3A%22Enamorado%20D%C3%ADaz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Juli%C3%A1n%20A.%22%2C%22lastName%22%3A%22Garc%C3%ADa-Garc%C3%ADa%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mar%C3%ADa%20Jos%C3%A9%22%2C%22lastName%22%3A%22Escalona%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J%C3%B6rg%22%2C%22lastName%22%3A%22Thomaschewski%22%7D%5D%2C%22abstractNote%22%3A%22This%20paper%20presents%20a%20Model-Driven%20Engineering%20approach%20for%20structuring%20virtual%20healthcare%20scenarios%20through%20a%20definition%20metamodel.%20The%20proposed%20metamodel%20captures%20core%20healthcare%20entities%2C%20their%20interactions%2C%20and%20associated%20data%20flows%2C%20and%20is%20explicitly%20mapped%20to%20FHIR%20resources%20to%20support%20interoperability.%20An%20excerpt%20of%20the%20metamodel%20and%20a%20simple%20FHIR-mapped%20scenario%20are%20presented%2C%20together%20with%20an%20initial%20qualitative%20validation%20based%20on%20expert%20review%2C%20indicating%20the%20suitability%20of%20the%20approach%20for%20designing%20interoperable%20virtual%20healthcare%20systems.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260496%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175168%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A10%3A42Z%22%7D%7D%2C%7B%22key%22%3A%226QB75MR6%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Adlberger%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BAdlberger%20S%2C%20Bauernfeind%20S%2C%20van%20den%20Broek%20M%2C%20Pointner%20A%2C%20Arthofer%20K%2C%20Krauss%20O.%20Leveraging%20Synthetic%20Patient%20Data%20for%20Process%20Mining%20in%20Healthcare.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1634%26amp%3B%23x2013%3B1638.%20PMID%3A%2042175173%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D6QB75MR6%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Leveraging%20Synthetic%20Patient%20Data%20for%20Process%20Mining%20in%20Healthcare%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Selina%22%2C%22lastName%22%3A%22Adlberger%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sophie%22%2C%22lastName%22%3A%22Bauernfeind%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mitch%22%2C%22lastName%22%3A%22van%20den%20Broek%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andreas%22%2C%22lastName%22%3A%22Pointner%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Klaus%22%2C%22lastName%22%3A%22Arthofer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Oliver%22%2C%22lastName%22%3A%22Krauss%22%7D%5D%2C%22abstractNote%22%3A%22Process%20mining%20in%20healthcare%20offers%20the%20potential%20to%20optimize%20workflows%20and%20ensure%20compliance%20with%20clinical%20guidelines%2C%20yet%20its%20application%20is%20often%20hindered%20by%20data%20privacy%20issues%20and%20restricted%20access%20to%20real-world%20patient%20data.%20This%20study%20presents%20a%20methodological%20infrastructure%20to%20explore%20the%20use%20of%20synthetic%20patient%20data%2C%20generated%20with%20Synthea%2C%20to%20advance%20healthcare%20process%20mining.%20By%20integrating%20HL7%20FHIR%20AuditEvent%20Resources%2C%20we%20establish%20standardized%20audit%20logs%20that%20capture%20healthcare%20processes%20while%20maintaining%20interoperability.%20These%20logs%20are%20then%20converted%20into%20process%20mining%20formats%20such%20as%20XES%20and%20OCEL%2C%20enabling%20analysis%20with%20established%20process%20mining%20techniques.%20The%20evaluation%20was%20performed%20using%20FHIR%20Resources%20generated%20from%20four%20Synthea%20modules%2C%20each%20representing%20the%20treatment%20course%20of%20a%20distinct%20disease.%20It%20demonstrates%20the%20accuracy%20of%20process%20reconstruction%20and%20the%20influence%20of%20data%20volume.%20Despite%20encountering%20challenges%20like%20missing%20events%20and%20the%20limitations%20of%20FHIR%20R4%20AuditEvent%2C%20our%20approach%20shows%20the%20capabilities%20of%20process%20reconstruction%20using%20synthetic%20healthcare%20data.%20Future%20work%20will%20apply%20this%20methodology%20to%20real-world%20scenarios%20to%20further%20validate%20its%20practical%20effectiveness%20in%20healthcare%20settings.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260502%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175173%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A10%3A31Z%22%7D%7D%2C%7B%22key%22%3A%225IBHCAKA%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Erturkmen%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BErturkmen%20GBL%2C%20Sarigul%20B%2C%20Yuksel%20M%2C%20Bulgheroni%20M%2C%20Atzeni%20M%2C%20Headley%20L%2C%20Camacho%20M%2C%20Martin-Isla%20C%2C%20Linkohr%20B%2C%20Jarva%20E%2C%20Sebert%20S.%20Design%20of%20an%20Interoperability%20Architecture%20for%20STAGE%20Person-Centred%20Applications%20for%20Clinicians%20and%20Ageing%20Citizens.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1644%26amp%3B%23x2013%3B1648.%20PMID%3A%2042175175%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D5IBHCAKA%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Design%20of%20an%20Interoperability%20Architecture%20for%20STAGE%20Person-Centred%20Applications%20for%20Clinicians%20and%20Ageing%20Citizens%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gokce%20Banu%20Laleci%22%2C%22lastName%22%3A%22Erturkmen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bunyamin%22%2C%22lastName%22%3A%22Sarigul%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mustafa%22%2C%22lastName%22%3A%22Yuksel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maria%22%2C%22lastName%22%3A%22Bulgheroni%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michele%22%2C%22lastName%22%3A%22Atzeni%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Laura%22%2C%22lastName%22%3A%22Headley%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marina%22%2C%22lastName%22%3A%22Camacho%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Carlos%22%2C%22lastName%22%3A%22Martin-Isla%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Birgit%22%2C%22lastName%22%3A%22Linkohr%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Erika%22%2C%22lastName%22%3A%22Jarva%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sylvain%22%2C%22lastName%22%3A%22Sebert%22%7D%5D%2C%22abstractNote%22%3A%22This%20paper%20presents%20the%20HL7%20FHIR-based%20interoperability%20architecture%20developed%20within%20the%20STAGE%20Project%20to%20enable%20the%20seamless%20integration%20of%20personalised%20decision%20support%2C%20health%20monitoring%2C%20and%20health%20coaching%20applications%20for%20the%20prevention%20and%20management%20of%20ageing%20with%20multi-morbidity.%20The%20architecture%20leverages%20international%20standards%2C%20including%20CDS%20Hooks%2C%20SMART%20on%20FHIR%2C%20and%20the%20International%20Patient%20Summary%20%28IPS%29%2C%20to%20support%20vendor-agnostic%20data%20exchange%20and%20scalable%20deployment%20across%20healthcare%20settings.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260504%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175175%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A10%3A24Z%22%7D%7D%2C%7B%22key%22%3A%22B2FTHJSR%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Gazzarata%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BGazzarata%20R%2C%20Muraca%20M%2C%20Beccaria%20A%2C%20Nicolas%20B%2C%20Bagnasco%20F%2C%20Cangioli%20G%2C%20Bars%20W%2C%20Chronaki%20C%2C%20Saraceno%20D%2C%20Haupt%20R.%20Standardizing%20Late-Effects%20Data%20Capture%20in%20Childhood%20Cancer%20Survivorship%3A%20A%20FHIR-Based%20Follow-Up%20Questionnaire.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1674%26amp%3B%23x2013%3B1678.%20PMID%3A%2042175181%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DB2FTHJSR%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Standardizing%20Late-Effects%20Data%20Capture%20in%20Childhood%20Cancer%20Survivorship%3A%20A%20FHIR-Based%20Follow-Up%20Questionnaire%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Roberta%22%2C%22lastName%22%3A%22Gazzarata%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Monica%22%2C%22lastName%22%3A%22Muraca%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrea%22%2C%22lastName%22%3A%22Beccaria%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Brigitte%22%2C%22lastName%22%3A%22Nicolas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Francesca%22%2C%22lastName%22%3A%22Bagnasco%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Giorgio%22%2C%22lastName%22%3A%22Cangioli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Wylem%22%2C%22lastName%22%3A%22Bars%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Catherine%22%2C%22lastName%22%3A%22Chronaki%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Davide%22%2C%22lastName%22%3A%22Saraceno%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Riccardo%22%2C%22lastName%22%3A%22Haupt%22%7D%5D%2C%22abstractNote%22%3A%22Advances%20in%20paediatric%20oncology%20have%20led%20to%20a%20growing%20population%20of%20childhood%20cancer%20survivors%20at%20risk%20of%20long-term%20and%20late%20effects%20requiring%20lifelong%20follow-up.%20However%2C%20follow-up%20data%20collection%20remains%20heterogeneous%2C%20limiting%20interoperability%20and%20reuse%20across%20care%20settings%20and%20research%20infrastructures.%20Within%20the%20PanCareSurPass%20project%2C%20we%20aimed%20to%20standardize%20the%20follow-up%20questionnaire%20used%20in%20the%20Survivorship%20Passport%20%28SurPass%29%20and%20implement%20it%20as%20a%20computable%20artefact%20based%20on%20HL7%20FHIR%20%28Fast%20Healthcare%20Interoperability%20Resources%29.%20Starting%20from%20CTCAE%20%28Common%20Terminology%20Criteria%20for%20Adverse%20Events%29%2C%20we%20developed%20a%20survivorship-oriented%20extension%20to%20support%20longitudinal%20documentation%20of%20late%20effects%20during%20routine%20clinical%20follow-up%2C%20including%20in%20adulthood.%20The%20questionnaire%20was%20modelled%20using%20FHIR%20Questionnaire%20and%20QuestionnaireResponse%20resources%20and%20integrated%20into%20the%20PanCareSurPass%20FHIR%20Implementation%20Guide%20to%20support%20both%20primary%20clinical%20use%20and%20secondary%20use%20of%20data%20in%20alignment%20with%20the%20European%20Health%20Data%20Space.%20This%20work%20provides%20a%20reusable%20foundation%20for%20interoperable%20late-effects%20data%20capture%2C%20supporting%20continuity%20of%20care%20and%20enabling%20observational%20studies%20and%20registries%20across%20Europe.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260510%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175181%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A10%3A17Z%22%7D%7D%2C%7B%22key%22%3A%225FHNUK94%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Gazzarata%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BGazzarata%20R%2C%20Cangioli%20G%2C%20Bars%20W%2C%20Chronaki%20C%2C%20Gaeta%20E%2C%20Zulaika%20U%2C%20Falanga%20V%2C%20Sacc%26amp%3B%23xE0%3B%20F%2C%20Trama%20A%2C%20IDEA4RC%20Working%20Group.%20Developing%20an%20HL7%20FHIR%20Implementation%20Guide%20for%20Rare%20Cancers%3A%20The%20IDEA4RC%20Project%20Experience.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1679%26amp%3B%23x2013%3B1684.%20PMID%3A%2042175182%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D5FHNUK94%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Developing%20an%20HL7%20FHIR%20Implementation%20Guide%20for%20Rare%20Cancers%3A%20The%20IDEA4RC%20Project%20Experience%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Roberta%22%2C%22lastName%22%3A%22Gazzarata%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Giorgio%22%2C%22lastName%22%3A%22Cangioli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Wylem%22%2C%22lastName%22%3A%22Bars%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Catherine%22%2C%22lastName%22%3A%22Chronaki%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Eugenio%22%2C%22lastName%22%3A%22Gaeta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Unai%22%2C%22lastName%22%3A%22Zulaika%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vincenzo%22%2C%22lastName%22%3A%22Falanga%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Federica%22%2C%22lastName%22%3A%22Sacc%C3%A0%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Annalisa%22%2C%22lastName%22%3A%22Trama%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22name%22%3A%22IDEA4RC%20Working%20Group%22%7D%5D%2C%22abstractNote%22%3A%22Rare%20cancers%20hinder%20data%20sharing%20and%20secondary%20use%20due%20to%20low%20incidence%2C%20heterogeneous%20pathways%2C%20and%20fragmented%20sources.%20The%20IDEA4RC%20project%20addresses%20these%20issues%20by%20creating%20a%20federated%20ecosystem%20for%20harmonized%20data%20exchange%20across%20European%20Centers%20of%20Excellence.%20This%20paper%20presents%20the%20IDEA4RC%20HL7%20FHIR%20Implementation%20Guide%20%28IG%29%2C%20which%20operationalizes%20the%20IDEA4RC%20common%20data%20model-organizing%20279%20clinical%20variables%20across%2019%20entities-into%20computable%20specifications%20for%20semantic%20and%20computational%20interoperability.%20The%20IDEA4RC%20HL7%20FHIR%20IG%20combines%20logical%20models%2C%20constrained%20resource%20profiles%2C%20terminology%20bindings%2C%20and%20grouped%20ConceptMaps%20that%20document%20traceable%20mappings%20from%20model%20entities%20%28e.g.%2C%20Cancer%20Episode%29%20to%20FHIR%20profiles.%20Developed%20within%20a%20multi-stakeholder%20European%20consortium%2C%20the%20data%20model%20was%20co-designed%20with%20clinical%20partners%20and%20it%20is%20the%20topic%20of%20a%20specific%20paper%3B%20here%20we%20report%20its%20technical%20translation%20into%20a%20computable%20FHIR%20IG%20primarily%20led%20by%20technological%20partners%3B%20with%20clinicians%20supporting%20concept%20interpretation%20and%20early%20implementation%20feedback.%20Compared%20to%20existing%20initiatives%20such%20as%20mCODE%2C%20our%20approach%20strengthens%20longitudinal%20and%20episode-based%20representation%20needed%20for%20European%20research%20contexts.%20The%20resulting%20IDEA4RC%20HL7%20FHIR%20IG%20underpins%20robust%20rare%20cancer%20data%20sharing%20and%20paves%20the%20way%20for%20broader%20harmonization%20across%20oncology%20standards%2C%20including%20future%20convergence%20with%20the%20HL7%20Cancer%20Common%20Model%20Project.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260511%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175182%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A10%3A10Z%22%7D%7D%2C%7B%22key%22%3A%22Z6VYIVVL%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Boehm%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BBoehm%20D%2C%20Schindler%20M%2C%20Strantz%20C%2C%20Unberath%20P.%20Support%20for%20Molecular%20Tumor%20Board%20Presentations%20in%20cBioPortal.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1741%26amp%3B%23x2013%3B1745.%20PMID%3A%2042175194%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DZ6VYIVVL%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Support%20for%20Molecular%20Tumor%20Board%20Presentations%20in%20cBioPortal%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dominik%22%2C%22lastName%22%3A%22Boehm%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marco%22%2C%22lastName%22%3A%22Schindler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Cosima%22%2C%22lastName%22%3A%22Strantz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Philipp%22%2C%22lastName%22%3A%22Unberath%22%7D%5D%2C%22abstractNote%22%3A%22Molecular%20tumor%20boards%20%28MTBs%29%20are%20key%20instruments%20for%20enabling%20personalized%20precision%20treatment%20in%20oncology%2C%20leveraging%20patient%26apos%3Bs%20genomic%20and%20clinical%20data%20to%20inform%20treatment%20decisions.%20While%20they%20present%20a%20major%20advancement%2C%20particularly%20for%20patients%20with%20advanced%20diseases%20or%20unique%20molecular%20profiles%2C%20the%20preparation%20and%20execution%20of%20MTB%20case%20discussions%20remain%20highly%20resource-intensive.%20To%20combat%20this%20issue%2C%20we%20collaborated%20with%20participating%20clinicians%20to%20develop%20an%20extension%20for%20the%20MTB-cBioPortal%2C%20facilitating%20the%20preparation%20and%20presentation%20of%20digital%20slide%20sets%20directly%20within%20the%20platform.%20Based%20on%20an%20analysis%20of%20existing%20case%20presentations%20from%20different%20hospitals%20and%20tumor%20boards%2C%20we%20derived%20functional%20and%20data%20requirements%20for%20this%20feature.%20We%20leverage%20existing%20clinical%20and%20genomic%20information%2C%20along%20with%20visualization%20features%2C%20to%20offer%20tumor%20board-specific%20functionality%2C%20including%20mutation%20overviews%20and%20timelines%20covering%20the%20patient%20journey%20from%20initial%20diagnosis%20to%20the%20inclusion%20in%20the%20MTB.%20Additional%20components%20allow%20users%20to%20upload%20and%20incorporate%20%28local%29%20images%20and%20files%2C%20such%20as%20pathology%20slides%20and%20reports%20into%20a%20local%20storage%20component%20and%20integrate%20them%20into%20their%20case%20presentation.%20All%20resulting%20presentations%20are%20stored%20as%20FHIR%20resources%20using%20the%20existing%20MTB-cBioPortal%20infrastructure.%20The%20extension%26apos%3Bs%20usability%20was%20evaluated%20by%20a%20multidisciplinary%20cohort%20of%20MTB%20participants%20%28n%3D7%29%20consisting%20of%20pathologists%2C%20biologists%20and%20bioinformaticians%20using%20the%20System%20Usability%20Scale.%20It%20demonstrated%20excellent%20results%20charting%20in%20the%2096th%20percentile%20and%20indicating%20strong%20potential%20for%20integration%20into%20routine%20molecular%20tumor%20board%20workflows.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260523%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175194%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A10%3A03Z%22%7D%7D%2C%7B%22key%22%3A%22RCMR2YSK%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Markatou%20and%20Chronaki%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BMarkatou%20EA%2C%20Chronaki%20C.%20Health%20Data%20Set%20Bias%20Examination%20in%20the%20European%20Health%20Data%20Space.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1761%26amp%3B%23x2013%3B1765.%20PMID%3A%2042175198%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DRCMR2YSK%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Health%20Data%20Set%20Bias%20Examination%20in%20the%20European%20Health%20Data%20Space%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Evangelia%20Anna%22%2C%22lastName%22%3A%22Markatou%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Catherine%22%2C%22lastName%22%3A%22Chronaki%22%7D%5D%2C%22abstractNote%22%3A%22Diversity%20in%20health%20datasets%20is%20a%20necessary%2C%20quantifiable%20property%20of%20inclusivity%20across%20key%20domains%20%28e.g.%2C%20demographic%2C%20socioeconomic%2C%20health%2C%20and%20environmental%29%20that%20directly%20shapes%20how%20well%20research%20generalizes%20and%20how%20fair%20its%20impacts%20are.%20In%20its%20absence%2C%20interventions%20risk%20encoding%20bias%20and%20exacerbating%20health%20disparities.%20In%20this%20work%2C%20we%20outline%20how%20dataset%20diversity%20can%20be%20measured%20and%20how%20these%20measures%20can%20be%20surfaced%20in%20the%20EHDS%20via%20metadata.%20We%20argue%20that%20simple%20annotations%20are%20insufficient%3A%20structured%20interaction%20with%20the%20data%20owner%20is%20required%20to%20assess%20the%20utility%20of%20health%20datasets%20for%20specific%20research%20purposes.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260527%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175198%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A09%3A58Z%22%7D%7D%2C%7B%22key%22%3A%22LZY6JMVY%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Hern%C3%A1ndez%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BHern%26amp%3B%23xE1%3Bndez%20A%2C%20Carolo%20G%2C%20Arias%20A%2C%20Ag%26amp%3B%23xFC%3Bero%20G%2C%20Sanz%20F.%20Development%20and%20Implementation%20of%20a%20Digital%20Tool%20for%20Fluid%20Balance%20Management%20in%20Hospitalized%20Pediatric%20Patients%3A%20Potential%20Impact%20on%20Morbidity%20and%20Mortality%20Associated%20with%20Fluid%20Therapy.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1820%26amp%3B%23x2013%3B1821.%20PMID%3A%2042175220%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DLZY6JMVY%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Development%20and%20Implementation%20of%20a%20Digital%20Tool%20for%20Fluid%20Balance%20Management%20in%20Hospitalized%20Pediatric%20Patients%3A%20Potential%20Impact%20on%20Morbidity%20and%20Mortality%20Associated%20with%20Fluid%20Therapy%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alberto%22%2C%22lastName%22%3A%22Hern%C3%A1ndez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gustavo%22%2C%22lastName%22%3A%22Carolo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ana%22%2C%22lastName%22%3A%22Arias%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gabriel%22%2C%22lastName%22%3A%22Ag%C3%BCero%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fernando%22%2C%22lastName%22%3A%22Sanz%22%7D%5D%2C%22abstractNote%22%3A%22Accurate%20fluid%20balance%20management%20in%20hospitalized%20pediatric%20patients%20is%20essential%20for%20patient%20safety%2C%20particularly%20in%20intensive%20care%20settings.%20To%20address%20limitations%20of%20paper-based%20documentation%2C%20a%20digital%20tool%20for%20real-time%20fluid%20balance%20management%20was%20developed%20and%20implemented%20at%20a%20high-complexity%20pediatric%20hospital.%20The%20system%20enables%20structured%20recording%20and%20visualization%20of%20fluid%20inputs%20and%20outputs%2C%20integrates%20medication%20and%20laboratory%20data%2C%20and%20is%20interoperable%20with%20electronic%20health%20records%20through%20the%20HL7%C2%AE%20FHIR%C2%AE%20standard%2C%20ensuring%20traceability%20and%20data%20security.%20Digitalization%20and%20interoperability%20allow%20the%20generation%20of%20clinical%20alerts%20for%20adequate%20fluid%20balance.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260549%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175220%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A09%3A49Z%22%7D%7D%2C%7B%22key%22%3A%22CMILXSRY%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lima%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BLima%20V%2C%20Almeida%20R%2C%20Calvi%20I%2C%20Domingues%20D%2C%20Martins%20R%2C%20Bernardi%20F%2C%20Concei%26amp%3B%23xE7%3B%26amp%3B%23xE3%3Bo%20L%2C%20Freitas%20A.%20From%20Spreadsheets%20to%20FHIR%20and%20Research%20Databases%3A%20Digitizing%20Medication%20Data%20in%20Elderly%20Care%20Within%20the%20RM4Health%20Project.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1835%26amp%3B%23x2013%3B1839.%20PMID%3A%2042175225%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DCMILXSRY%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22From%20Spreadsheets%20to%20FHIR%20and%20Research%20Databases%3A%20Digitizing%20Medication%20Data%20in%20Elderly%20Care%20Within%20the%20RM4Health%20Project%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vin%C3%ADcius%22%2C%22lastName%22%3A%22Lima%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rute%22%2C%22lastName%22%3A%22Almeida%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Izabela%22%2C%22lastName%22%3A%22Calvi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniela%22%2C%22lastName%22%3A%22Domingues%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rafael%22%2C%22lastName%22%3A%22Martins%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Filipe%22%2C%22lastName%22%3A%22Bernardi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lu%C3%ADs%22%2C%22lastName%22%3A%22Concei%C3%A7%C3%A3o%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alberto%22%2C%22lastName%22%3A%22Freitas%22%7D%5D%2C%22abstractNote%22%3A%22Medication%20management%20in%20long-term%20care%20remains%20largely%20paper-based%2C%20resulting%20in%20fragmented%20records%2C%20transcription%20errors%2C%20and%20limited%20reuse%20opportunities.%20In%20the%20Portuguese%20use%20case%20of%20the%20RM4Health%20project%2C%20the%20Santa%20Casa%20da%20Miseric%C3%B3rdia%20de%20Vagos%20adopted%20a%20structured%20datasheet%20template%20with%20embedded%20validations%20as%20the%20single%20point%20of%20entry%20for%20medication%20data.%20Two%20services%20were%20developed%20to%20convert%20XLS-based%20medication%20data%20into%20HL7%20FHIR%20MedicationStatement%20resources%20and%20produce%20CSV%20files%20for%20semi-automated%20import%20into%20a%20REDCap%20database.%20The%20work%20also%20demonstrated%20the%20feasibility%20of%20converting%20semantically%20annotated%20REDCap%20exports%20back%20into%20FHIR%20resources%2C%20enabling%20bidirectional%20flows.%20Initial%20use%20indicates%20that%20the%20template%20is%20easy%20to%20adopt%2C%20while%20downstream%20partners%20may%20benefit%20from%20automated%20integration%20into%20clinical%20and%20research%20systems.%20This%20experience%20demonstrates%20how%20low-friction%20changes%20at%20the%20entry%20point%2C%20combined%20with%20open%20standards%2C%20can%20support%20data%20flows%20in%20long-term%20care%20settings.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260555%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175225%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A09%3A42Z%22%7D%7D%2C%7B%22key%22%3A%22RYKBJYQI%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Raza%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BRaza%20A%2C%20Esposito%20C%2C%20Giacomini%20M.%20Large%20Language%20Models%20for%20Automating%20Conformance%20to%20Health-Data%20Standards%3A%20The%20Interoperability%20Case%20of%20HL7%20FHIR%20and%20OMOP.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1870%26amp%3B%23x2013%3B1874.%20PMID%3A%2042175232%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DRYKBJYQI%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Large%20Language%20Models%20for%20Automating%20Conformance%20to%20Health-Data%20Standards%3A%20The%20Interoperability%20Case%20of%20HL7%20FHIR%20and%20OMOP%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ali%22%2C%22lastName%22%3A%22Raza%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christian%22%2C%22lastName%22%3A%22Esposito%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mauro%22%2C%22lastName%22%3A%22Giacomini%22%7D%5D%2C%22abstractNote%22%3A%22Interoperability%20standards%20enable%20different%20healthcare%20systems%20to%20exchange%20electronic%20health%20information%20seamlessly%2C%20and%20support%20large-scale%20analytics%20needed%20for%20current%20Secondary%20uses%20of%20healthcare%20data.%20Transforming%20diverse%20clinical%20inputs%20into%20standards-compliant%2C%20analyzable%20data%20remains%20labor-intensive%20and%20error-prone.%20Moreover%2C%20the%20learning%20curve%20for%20their%20proper%20exploitation%20can%20be%20steep%20due%20to%20extensive%20documentation%2C%20specific%20technical%20requirements%2C%20and%20the%20need%20for%20both%20semantic%20and%20technical%20integration%2C%20making%20them%20not%20fully%20accessible%20to%20practitioners%20in%20the%20healthcare%20domain%20unless%20they%20undergo%20extensive%20training.%20Our%20study%20investigated%20whether%20large%20language%20models%20can%20automate%20conformance%20while%20preserving%20syntactic%20validity%2C%20semantic%20correctness%2C%20and%20reproducibility%2C%20thereby%20simplifying%20the%20adoption%20of%20these%20standards.%20Using%20diabetes%20measurements%20as%20a%20probe%20domain%2C%20we%20validated%20extraction%20fidelity%2C%20coding%20accuracy%20against%20controlled%20vocabularies%2C%20and%20conformance%20to%20the%20domain%26apos%3Bs%20main%20standards.%20Our%20prototype%20emits%20FHIR%20Observations%20and%20OMOP%20MEASUREMENT%20rows.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260562%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175232%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A09%3A36Z%22%7D%7D%2C%7B%22key%22%3A%22D9FKQ6LB%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Nakayama%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BNakayama%20M.%20Handling%20of%20Nursing%20Care%20Information%20in%20Personal%20Health%20Records.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A1957%26amp%3B%23x2013%3B1958.%20PMID%3A%2042175260%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DD9FKQ6LB%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Handling%20of%20Nursing%20Care%20Information%20in%20Personal%20Health%20Records%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Masaharu%22%2C%22lastName%22%3A%22Nakayama%22%7D%5D%2C%22abstractNote%22%3A%22The%20expansion%20of%20Personal%20Health%20Records%20%28PHRs%29%20in%20Japan%20has%20mainly%20focused%20on%20the%20integration%20of%20medical%20data%20such%20as%20clinical%20test%20results%2C%20diagnoses%2C%20and%20prescriptions%2C%20as%20well%20as%20collecting%20daily%20logs.%20However%2C%20with%20the%20rapid%20aging%20of%20the%20population%20and%20the%20diversification%20of%20care%20providers%2C%20there%20is%20a%20growing%20need%20to%20integrate%20nursing%20care%20information%20into%20PHRs%20to%20realize%20continuous%2C%20multi-professional%20care.%20This%20study%20reports%20the%20formative%20design%20and%20development%20of%20a%20web-based%20PHR%20application%20that%20enables%20the%20unified%20handling%20of%20both%20medical%20and%20nursing%20care%20information.%20The%20system%20allows%20users%20to%20record%20daily%20care%20routines%2C%20activities%20of%20daily%20living%2C%20home-visit%20records%2C%20and%20care-related%20observations%20alongside%20conventional%20medical%20data.%20The%20findings%20suggest%20that%20standardized%20care%20data%20elements%20within%20PHRs%20can%20be%20a%20foundation%20for%20holistic%20care%20in%20aging%20societies.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260590%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175260%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A09%3A28Z%22%7D%7D%2C%7B%22key%22%3A%22MHTQVJUA%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Loureiro%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BLoureiro%20PDJ.%20Digital%20Infoveillance%20for%20Zoonotic%20Diseases%3A%20Towards%20EHDS-Ready%20One%20Health%20Integration.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A2115%26amp%3B%23x2013%3B2116.%20PMID%3A%2042175301%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DMHTQVJUA%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Digital%20Infoveillance%20for%20Zoonotic%20Diseases%3A%20Towards%20EHDS-Ready%20One%20Health%20Integration%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Paulos%20De%20Jesus%22%2C%22lastName%22%3A%22Loureiro%22%7D%5D%2C%22abstractNote%22%3A%22Digital%20infoveillance%20offers%20a%20complementary%20approach%20to%20early%20detection%20of%20zoonotic%20threats%20by%20analysing%20online%20signals%2C%20digital%20traces%2C%20and%20real-time%20data%20streams.%20However%2C%20current%20One%20Health%20surveillance%20remains%20fragmented%20across%20human%2C%20animal%2C%20environmental%2C%20and%20digital%20ecosystems.%20This%20short%20communication%20proposes%20aligning%20infoveillance-enabled%20zoonotic%20surveillance%20with%20the%20European%20Health%20Data%20Space%20%28EHDS%29%20to%20achieve%20interoperable%2C%20multisector%20data%20integration.%20By%20leveraging%20the%20One%20Digital%20Health%20%28ODH%29%20framework%20and%20emerging%20FHIR-based%20standards%2C%20we%20outline%20the%20architectural%20and%20governance%20requirements%20for%20an%20EHDS-ready%20approach%20to%20zoonotic%20detection%20and%20preparedness.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260632%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175301%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A09%3A19Z%22%7D%7D%2C%7B%22key%22%3A%22YEC8XYXJ%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Cardozo%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BCardozo%20BM%2C%20Rodrigues%20RR%2C%20Sasso%20GTMD%2C%20Barra%20DCC.%20Results%20of%20the%20Application%20of%20the%20E4Nursing%26amp%3B%23xAE%3B%20Platform%20in%20Nurses%26amp%3B%23x2019%3B%20Clinical%20Decision-Making.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A2274%26amp%3B%23x2013%3B2275.%20PMID%3A%2042175341%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DYEC8XYXJ%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Results%20of%20the%20Application%20of%20the%20E4Nursing%C2%AE%20Platform%20in%20Nurses%27%20Clinical%20Decision-Making%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Brunna%20M.%22%2C%22lastName%22%3A%22Cardozo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rog%C3%A9rio%20R.%22%2C%22lastName%22%3A%22Rodrigues%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Grace%20T.%20M.%20Dal%22%2C%22lastName%22%3A%22Sasso%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniela%20C.%20C.%22%2C%22lastName%22%3A%22Barra%22%7D%5D%2C%22abstractNote%22%3A%22Digital%20simulation%20platforms%20support%20the%20development%20of%20clinical%20reasoning%20and%20decision-making%20in%20nursing%20education.%20This%20study%20evaluates%20the%20user%20experience%20and%20perceived%20educational%20value%20of%20E4%20Nursing%C2%AE%20%28https%3A%2F%2Fe4nursing.virtualcare.pt%29%2C%20a%20simulation%20platform%20integrating%20CIPE%C2%AE%2C%20SNOMED%20CT%2C%20and%20HL7%20FHIR%C2%AE%20standards%20to%20support%20structured%20assessment%2C%20nursing%20diagnoses%2C%20and%20care%20planning.%20A%20mixed-methods%20study%20was%20conducted%20at%20the%20Federal%20University%20of%20Santa%20Catarina%20%28UFSC%29%20with%2029%20undergraduate%20nursing%20students.%20User%20experience%20was%20assessed%20using%20the%20System%20Usability%20Scale%20%28SUS%29%20and%20the%20User%20Experience%20Questionnaire%20%28UEQ%29.%20The%20mean%20SUS%20score%20was%2058.1%2C%20indicating%20usability%20limitations%3B%20however%2C%20most%20participants%20rated%20the%20content%20as%20relevant%20%2889%25%29%2C%20reported%20satisfaction%20with%20learning%20quality%20%2884%25%29%2C%20and%20perceived%20improvements%20in%20clinical%20reasoning%20and%20decision-making.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260673%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175341%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A09%3A12Z%22%7D%7D%2C%7B%22key%22%3A%228L37IQMS%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Frei%20and%20Kramer%22%2C%22parsedDate%22%3A%222026-05-21%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BFrei%20J%2C%20Kramer%20F.%20Context-Free%20Grammar-Guided%20Generation%20of%20FHIR%20Resources%20Using%20Large%20Language%20Models.%20Stud%20Health%20Technol%20Inform.%202026%20May%2021%3B336%3A2498%26amp%3B%23x2013%3B2502.%20PMID%3A%2042175392%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D8L37IQMS%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Context-Free%20Grammar-Guided%20Generation%20of%20FHIR%20Resources%20Using%20Large%20Language%20Models%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Johann%22%2C%22lastName%22%3A%22Frei%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Frank%22%2C%22lastName%22%3A%22Kramer%22%7D%5D%2C%22abstractNote%22%3A%22Large%20Language%20Models%20%28LLMs%29%20have%20shown%20remarkable%20capabilities%20in%20medical%20information%20extraction%20and%20data%20transformation%20tasks.%20However%2C%20their%20unstructured%20outputs%20pose%20significant%20challenges%20for%20integration%20into%20clinical%20data%20pipelines.%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29%20provides%20a%20standardized%20data%20model%20for%20encoding%20and%20exchanging%20medical%20information%2C%20yet%20its%20complexity%2C%20involving%20deeply%20nested%20structures%2C%20standardized%20coding%20systems%2C%20and%20strict%20syntactical%20rules%2C%20makes%20reliable%20generation%20challenging.%20While%20LLMs%20can%20be%20guided%20by%20linguistic%20grammars%20during%20token%20decoding%20to%20enforce%20structured%20outputs%2C%20designing%20such%20grammars%20for%20complex%20standards%20like%20FHIR%20remains%20difficult.%20We%20present%20a%20pipeline%20for%20synthesizing%20Context-Free%20Grammars%20%28CFGs%29%20from%20FHIR-derived%20JSON%20Schemas%2C%20enabling%20schema-conformant%20structured%20generation%20with%20LLMs.%20Our%20approach%20introduces%20relaxed%20key%20ordering%20to%20maintain%20structural%20validity%20while%20avoiding%20limitations%20of%20strict%20schema-guided%20approaches.%20Through%20systematic%20evaluation%20on%2017%20test%20cases%20across%205%20categories%20using%20FHIR%20R5%20resources%2C%20we%20demonstrate%20that%20CFG-guided%20generation%20achieves%2076.5%25%20validity%20in%20producing%20valid%20resources%2C%20compared%20to%2041.2%25%20for%20JSON%20Schema-guided%20and%2017.6%25%20for%20unguided%20generation.%20Furthermore%2C%20our%20approach%20successfully%20enforces%20value%20constraints%20%28enumerated%20types%2C%20certain%20UCUM%20unit%20codes%29%20and%20structural%20compliance%20that%20other%20methods%20fail%20to%20guarantee.%20We%20release%20our%20grammar%20synthesis%20pipeline%20as%20open-source%20to%20facilitate%20adoption%20in%20healthcare%20information%20systems.%22%2C%22date%22%3A%222026-05-21%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260725%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242175392%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-28T13%3A09%3A05Z%22%7D%7D%2C%7B%22key%22%3A%228BQRC48L%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Wi%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-13%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BWi%20CI%2C%20Overgaard%20S%2C%20Malik%20M%2C%20Watson%20D%2C%20Sharma%20D%2C%20Le-Rademacher%20J%2C%20Kelleher%20D%2C%20Zheng%20L%2C%20Ohde%20J%2C%20Lynch%20B%2C%20Khurana%20A%2C%20Sohn%20S%2C%20AlJuhani%20MM%2C%20Carpenter%20C%2C%20Arteta%20M%2C%20Greenwood%20J%2C%20Hartz%20M%2C%20Foss%20R%2C%20Polat%20E%2C%20Absah%20I%2C%20Davis%20C%2C%20Gupta%20M%2C%20Myers%20L%2C%20Nordlund%20B%2C%20Tao%20C%2C%20Wieland%20ML%2C%20Patten%20C%2C%20Jones%20A%2C%20Varkey%20P%2C%20Loufek%20BT%2C%20Vidal%20DE%2C%20Gopala%20N%2C%20Klee%20E%2C%20Shah%20VH%2C%20Halamka%20JD%2C%20Callstrom%20MR%2C%20Rider%20NL%2C%20Liu%20H%2C%20Aliferis%20C%2C%20D%20Garovic%20V%2C%20J%20Juhn%20Y.%20A%20lifecycle%20governance%20and%20learning%20health%20system%20framework%20for%20trustworthy%2C%20generalizable%2C%20and%20sustainable%20human-ai%20partnership%20in%20clinical%20practice%3A%20Lessons%20from%20the%20asthma-guidance%20and%20prediction%20system%20%28A-GPS%29.%20J%20Natl%20Med%20Assoc.%202026%20May%2013%3BS0027-9684%2826%2900064%26amp%3B%23x2013%3B7.%20PMID%3A%2042128801%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D8BQRC48L%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20lifecycle%20governance%20and%20learning%20health%20system%20framework%20for%20trustworthy%2C%20generalizable%2C%20and%20sustainable%20human-ai%20partnership%20in%20clinical%20practice%3A%20Lessons%20from%20the%20asthma-guidance%20and%20prediction%20system%20%28A-GPS%29%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chung-Il%22%2C%22lastName%22%3A%22Wi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shauna%22%2C%22lastName%22%3A%22Overgaard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Momin%22%2C%22lastName%22%3A%22Malik%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dave%22%2C%22lastName%22%3A%22Watson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Deepak%22%2C%22lastName%22%3A%22Sharma%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jennifer%22%2C%22lastName%22%3A%22Le-Rademacher%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dan%22%2C%22lastName%22%3A%22Kelleher%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lu%22%2C%22lastName%22%3A%22Zheng%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Joshua%22%2C%22lastName%22%3A%22Ohde%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Brian%22%2C%22lastName%22%3A%22Lynch%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ashwani%22%2C%22lastName%22%3A%22Khurana%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sunghwan%22%2C%22lastName%22%3A%22Sohn%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mahmoud%20M.%22%2C%22lastName%22%3A%22AlJuhani%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chris%22%2C%22lastName%22%3A%22Carpenter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Manuel%22%2C%22lastName%22%3A%22Arteta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jason%22%2C%22lastName%22%3A%22Greenwood%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Martha%22%2C%22lastName%22%3A%22Hartz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Randy%22%2C%22lastName%22%3A%22Foss%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elif%22%2C%22lastName%22%3A%22Polat%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Imad%22%2C%22lastName%22%3A%22Absah%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Carla%22%2C%22lastName%22%3A%22Davis%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Meera%22%2C%22lastName%22%3A%22Gupta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lynnea%22%2C%22lastName%22%3A%22Myers%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bj%C3%B6rn%22%2C%22lastName%22%3A%22Nordlund%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Cui%22%2C%22lastName%22%3A%22Tao%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mark%20L.%22%2C%22lastName%22%3A%22Wieland%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christi%22%2C%22lastName%22%3A%22Patten%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amie%22%2C%22lastName%22%3A%22Jones%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Prathibha%22%2C%22lastName%22%3A%22Varkey%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Brenna%20T.%22%2C%22lastName%22%3A%22Loufek%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%20E.%22%2C%22lastName%22%3A%22Vidal%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nari%22%2C%22lastName%22%3A%22Gopala%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Eric%22%2C%22lastName%22%3A%22Klee%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vijay%20H.%22%2C%22lastName%22%3A%22Shah%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22John%20D.%22%2C%22lastName%22%3A%22Halamka%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Matthew%20R.%22%2C%22lastName%22%3A%22Callstrom%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nicholas%20L.%22%2C%22lastName%22%3A%22Rider%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Hongfang%22%2C%22lastName%22%3A%22Liu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Constantin%22%2C%22lastName%22%3A%22Aliferis%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vesna%22%2C%22lastName%22%3A%22D%20Garovic%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Young%22%2C%22lastName%22%3A%22J%20Juhn%22%7D%5D%2C%22abstractNote%22%3A%22The%20integration%20of%20artificial%20intelligence%20%28AI%29%20into%20clinical%20decision%20support%20%28CDS%29%20holds%20promise%20for%20proactive%2C%20personalized%2C%20and%20precision%20care.%20However%2C%20current%20understanding%20of%20how%20to%20establish%20trustworthy%20human-AI%20partnerships%20is%20in%20its%20infancy%2C%20despite%20its%20critical%20importance%20for%20implementing%20AI%20in%20healthcare.%20We%20present%20the%20Asthma-Guidance%20and%20Prediction%20System%20%28A-GPS%29%20as%20a%20case%20study%20of%20a%20practice-integrated%20AI%20platform%20that%20demonstrates%20how%20trustworthy%2C%20generalizable%20and%20sustainable%20AI%20can%20be%20developed%2C%20evaluated%2C%20and%20implemented%20in%20real-world%20asthma%20care.%20We%20describe%20major%20challenges%20and%20solutions%20based%20on%20our%20real-world%20experience%20during%20the%20process%20and%20offer%20the%20practical%20framework%2C%20approaches%2C%20tools%20and%20workflow%20for%20implementing%20trustworthy%2C%20generalizable%20and%20sustainable%20AI%20in%20frontline%20practices.%20While%20A-GPS%20is%20an%20asthma-specific%20AI%20tool%2C%20it%20was%20built%20on%20top%20of%20a%20disease-agnostic%20electronic%20health%20record%20%28EHR%29-integrated%20clinical%20decision%20support%20%28CDS%29%20platform%20based%20on%20an%20Application%20Programming%20Interface%20%28API%29%E2%80%91first%20backbone%20of%20reusable%20services.%20It%20was%20designed%20to%20reduce%20chart-review%2Fprocessing%20burden%20and%20enable%20proactive%2C%20guideline-concordant%20asthma%20management%20by%20synthesizing%20fragmented%20longitudinal%20multimodal%20data%20into%20a%20clinical%20decision-relevant%20summary%20at%20the%20point%20of%20care.%20A-GPS%20platform%20integrates%20multiple%20natural%20language%20processing%20%28NLP%29%20algorithms%20to%20leverage%20free%20texts%20info%20in%20EHRs%2C%20machine%20learning%20model%20to%20offer%20risk%20stratification%2C%20and%20remote%20patient%20monitoring%20%28RPM%29%20approaches%20to%20capture%20real-time%20data%20from%20patients%2C%20enabling%20remote%20asthma%20%28chronic%20disease%29%20care.%20The%20platform%20has%20been%20deployed%20via%20Substitutable%20Medical%20Applications%20and%20Reusable%20Technologies-on-Fast%20Healthcare%20Interoperability%20Resources%20%28SMART-on-FHIR%29%20to%20ensure%20in-workflow%20delivery%20and%20maintainable%20governance%20making%20it%20flexible%20and%20interoperable%20across%20different%20EHRs%20systems%20and%20different%20chronic%20diseases.%20The%20translational%20maturity%20of%20A-GPS%20as%20an%20AI-powered%20CDS%20tool%20for%20pediatric%20asthma%20was%20demonstrated%20and%20sustained%20through%20engagement%20and%20co-design%20with%20diverse%20community%20and%20care%20team%20partners%2C%20including%20adult%20and%20pediatric%20Community%20Advisory%20Board%2C%20pediatric%20patients%20and%20their%20parents%2C%20clinicians%20%28primary%20care%20providers%20and%20specialists%29%2C%20nurses%2C%20schedulers%2C%20as%20well%20as%20bioethicists%20and%20regulatory%20experts.%20Moreover%2C%20the%20tool%20was%20evaluated%20in%20two%20randomized%20clinical%20trial%20%28RCT%29s.%20The%20first%20trial%20showed%20a%2067%25%20reduction%20in%20clinicians%26apos%3B%20EHR%20review%20time%2C%20high%20clinician%20satisfaction%2C%20potential%20healthcare%20cost%20savings%2C%20fairness%20in%20model%20performance%2C%20and%20no%20adverse%20events.%20Trustworthiness%20was%20further%20assessed%20and%20supported%20through%20fairness%20evaluation%20by%20participant%20socioeconomic%20status%20%28SES%29%20using%20the%20HOUsing-based%20SocioEconomic%20Status%20%28HOUSES%29%20index%2C%20human-centered%20user%20interface%2Fuser%20experience%20%28UI%2FUX%29%20analysis%2C%20clinician%20workflow%20optimization%2C%20transparent%20governance%20practices%2C%20and%20best%20practices%20for%20regulatory%20science.%20The%20A-GPS%20experience%20operationalizes%20a%20reproducible%2C%20lifecycle-governed%20framework%20for%20generating%20decision-grade%20evidence%20on%20safety%2C%20effectiveness%2C%20usability%2C%20fairness%2C%20and%20workflow%20integration%2C%20directly%20addressing%20the%20translational%20gap%20between%20AI%20model%20development%20and%20trustworthy%2C%20sustainable%20deployment%20in%20real-world%20clinical%20environments.%20These%20efforts%20led%20to%20national%20recognitions%2C%20including%20invitation%20to%20the%20inaugural%20American%20Medical%20Informatics%20Association%20%28AMIA%29%20AI%20Showcase%2C%20and%20AI%20evaluation%20use%20case%20for%20a%20national%20health%20AI%20coalition.%20The%20second%20RCT%20evaluated%20the%20feasibility%20of%20integrating%20a%20remote%20patient%20monitoring%20%28RPM%29%20device%20%28home%20spirometry%29%20into%20the%20A-GPS%20platform%2C%20with%20a%20published%20RCT%20protocol%20that%20serves%20as%20a%20framework%20for%20RCT%20for%20evaluating%20AI%20models%20under%20the%20Standard%20Protocol%20Items%3A%20Recommendations%20for%20Interventional%20Trials%20%28SPIRIT%29%20guidelines%20for%20RCTs%20that%20evaluate%20AI%20tools%2C%20offering%20the%20practical%20framework%2C%20approaches%2C%20tools%2C%20and%20workflow%20for%20trustworthy%2C%20generalizable%20and%20sustainable%20AI%20tools%20in%20asthma%20care.%20This%20work%20illustrates%20how%20team%20science%2C%20community%20engagement%2C%20implementation%20science%2C%20and%20learning%20health%20system%20principles%20can%20be%20operationalized%20to%20establish%20a%20human-AI%20partnership%20model%20to%20advance%20translational%20science%20and%20clinical%20care%2C%20with%20the%20goal%20of%20improving%20health%20for%20all.%22%2C%22date%22%3A%222026-05-13%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1016%2Fj.jnma.2026.04.001%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242128801%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221943-4693%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-17T11%3A52%3A53Z%22%7D%7D%2C%7B%22key%22%3A%22MN4ZLZBC%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Park%22%2C%22parsedDate%22%3A%222026-05-12%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BPark%20K.%20Diagnostic%20stewardship%20monitoring%20systems%3A%20institutional%20and%20system-level%20approaches.%20Crit%20Rev%20Clin%20Lab%20Sci.%202026%20May%2012%3B1%26amp%3B%23x2013%3B17.%20PMID%3A%2042116750%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DMN4ZLZBC%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Diagnostic%20stewardship%20monitoring%20systems%3A%20institutional%20and%20system-level%20approaches%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kuenyoul%22%2C%22lastName%22%3A%22Park%22%7D%5D%2C%22abstractNote%22%3A%22Diagnostic%20stewardship-performing%20the%20right%20test%20for%20the%20right%20patient%20at%20the%20right%20time-improves%20diagnostic%20accuracy%20and%20reduces%20healthcare%20resource%20waste.%20Various%20stewardship%20interventions%20have%20been%20introduced%2C%20yet%20their%20effects%20dissipate%20without%20systematic%2C%20sustained%20monitoring.%20One-time%20education%20and%20isolated%20system%20controls%20consistently%20show%20effect%20attenuation%20over%20time%2C%20and%20inappropriate%20ordering%20practices%20rapidly%20rebound%20once%20active%20oversight%20ceases.%20To%20date%2C%20the%20literature%20has%20focused%20on%20monitoring%20within%20single%20institutions%3B%20integration%20with%20population-level%20surveillance%20systems%20remains%20underexplored.%20This%20review%20proposes%20a%20framework%20linking%20institutional-level%20and%20system-level%20monitoring.%20At%20the%20institutional%20level%2C%20key%20performance%20indicators%20such%20as%20tests%20per%20patient-day%20and%20test-to-test%20ratios%2C%20combined%20with%20dashboard%20visualization%2C%20statistical%20process%20control%20charts%2C%20and%20cyclical%20audit-and-feedback%20structures%2C%20enable%20continuous%20surveillance%20of%20ordering%20patterns%20and%20drive%20behavioral%20change.%20Root%20cause%20analysis%20of%20monitoring%20data%20can%20identify%20specific%20drivers%20of%20over-ordering%2C%20and%20machine%20learning%20approaches%20show%20promise%20for%20predicting%20both%20overutilization%20and%20underutilization.%20These%20institutional%20tools%2C%20however%2C%20cannot%20track%20patients%20across%20facilities%20or%20assess%20population-level%20test%20appropriateness.%20At%20the%20system%20level%2C%20health%20insurance%20claims%20and%20administrative%20data%20enable%20macroscopic%20monitoring%20across%20entire%20populations.%20National%20experiences%20from%20Korea%2C%20Canada%2C%20and%20the%20United%20States%20demonstrate%20that%20ordering%20code%20pattern%20analysis%20can%20systematically%20identify%20inappropriate%20utilization-and%20that%20the%20structural%20design%20of%20reimbursement%20systems%20is%20more%20effective%20than%20voluntary%20recommendations%20in%20controlling%20low-value%20testing.%20The%20inherent%20limitation%20of%20claims%20data-the%20absence%20of%20test%20result%20values-can%20be%20partially%20overcome%20through%20linkage%20with%20other%20administrative%20databases.%20Bridging%20these%20two%20levels%20requires%20healthcare%20data%20standards%20and%20interoperability%20infrastructure%2C%20including%20Logical%20Observation%20Identifiers%20Names%20and%20Codes%20%28LOINC%29%2C%20Nomenclature%20for%20Properties%20and%20Units%20%28NPU%29%2C%20Systematized%20Nomenclature%20of%20Medicine-Clinical%20Terms%20%28SNOMED%20CT%29%2C%20and%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29%2C%20yet%20practical%20barriers%20such%20as%20mapping%20quality%20variability%2C%20privacy%20constraints%2C%20and%20standardization%20costs%20persist.%20The%20scope%20of%20monitoring%20should%20extend%20beyond%20test%20ordering%20to%20encompass%20the%20entire%20total%20testing%20process%2C%20engaging%20diverse%20stakeholders%20across%20the%20testing%20continuum.%20With%20multidisciplinary%20workforce%20development%2C%20artificial%20intelligence-based%20clinical%20decision%20support%2C%20value-based%20reimbursement%20models%2C%20and%20rigorous%20multi-center%20studies%2C%20diagnostic%20stewardship%20monitoring%20can%20evolve%20into%20sustainable%20healthcare%20infrastructure%20that%20serves%20both%20individual%20patient%20safety%20and%20population%20health.%22%2C%22date%22%3A%222026-05-12%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1080%2F10408363.2026.2666326%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242116750%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221549-781X%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-17T11%3A54%3A16Z%22%7D%7D%2C%7B%22key%22%3A%22ZXAY27ME%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Bikia%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-12%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BBikia%20V%2C%20Schmiedmayer%20P%2C%20Zahedivash%20A%2C%20Aalami%20L%2C%20Rao%20A%2C%20Ravi%20V%2C%20Turk%20M%2C%20Ceresnak%20SR%2C%20Aalami%20O.%20Spezi%20Data%20Pipeline%3A%20Streamlining%20FHIR-based%20interoperable%20digital%20dealth%20data%20workflows.%20NPJ%20Digit%20Med.%202026%20May%2012%3B%20PMID%3A%2042120671%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DZXAY27ME%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Spezi%20Data%20Pipeline%3A%20Streamlining%20FHIR-based%20interoperable%20digital%20dealth%20data%20workflows%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vasiliki%22%2C%22lastName%22%3A%22Bikia%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Paul%22%2C%22lastName%22%3A%22Schmiedmayer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aydin%22%2C%22lastName%22%3A%22Zahedivash%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lauren%22%2C%22lastName%22%3A%22Aalami%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Adrit%22%2C%22lastName%22%3A%22Rao%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vishnu%22%2C%22lastName%22%3A%22Ravi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Matthew%22%2C%22lastName%22%3A%22Turk%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Scott%20R.%22%2C%22lastName%22%3A%22Ceresnak%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Oliver%22%2C%22lastName%22%3A%22Aalami%22%7D%5D%2C%22abstractNote%22%3A%22The%20increasing%20adoption%20of%20digital%20health%20technologies%20has%20amplified%20the%20need%20for%20robust%2C%20interoperable%20solutions%20to%20manage%20complex%20healthcare%20data.%20We%20present%20the%20Spezi%20Data%20Pipeline%2C%20an%20open-source%20Python%20toolkit%20designed%20to%20streamline%20the%20analysis%20of%20digital%20health%20data%2C%20from%20secure%20access%20and%20retrieval%20through%20processing%2C%20visualization%2C%20and%20export.%20The%20Pipeline%20is%20integrated%20into%20the%20larger%20Stanford%20Spezi%20open-source%20ecosystem%20for%20developing%20research%20and%20translational%20digital%20health%20software%20systems.%20Leveraging%20Health%20Level%20Seven%20%28HL7%29%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29-based%20data%20representations%2C%20the%20Pipeline%20enables%20standardized%20handling%20of%20diverse%20data%20types%2C%20including%20sensor-derived%20observations%2C%20electrocardiogram%20%28ECG%29%20recordings%2C%20and%20clinical%20questionnaires-across%20research%20and%20clinical%20environments.%20We%20detail%20the%20modular%20system%20architecture%20and%20demonstrate%20its%20application%20using%20real-world%20data%20from%20the%20Pediatric%20Apple%20Watch%20Study%20%28PAWS%29%20at%20Stanford%20University%2C%20in%20which%20the%20Pipeline%20facilitated%20efficient%20extraction%2C%20transformation%2C%20and%20clinician-driven%20review%20of%20Apple%20Watch%20ECG%20data%2C%20supporting%20annotation%20and%20comparative%20analysis%20alongside%20traditional%20monitors.%20By%20reducing%20the%20need%20for%20bespoke%20data%20engineering%20and%20enabling%20prospective%2C%20clinician-in-the-loop%20analysis%20within%20standardized%20workflows%2C%20the%20Spezi%20Data%20Pipeline%20supports%20reproducible%20and%20interoperable%20clinical%20research%20using%20routinely%20collected%20digital%20health%20data.%22%2C%22date%22%3A%222026-05-12%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1038%2Fs41746-026-02666-7%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242120671%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222398-6352%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-17T11%3A53%3A03Z%22%7D%7D%2C%7B%22key%22%3A%2226FLTYTF%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Ungurean%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-11%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BUngurean%20I%2C%20Gherman%20OI%2C%20Lavric%20A%2C%20Dimian%20M.%20A%20privacy-centric%20microservice%20framework%20for%20secure%20FHIR-based%20integration%20of%20heterogeneous%20medical%20data.%20Int%20J%20Med%20Inform.%202026%20May%2011%3B216%3A106477.%20PMID%3A%2042114371%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3D26FLTYTF%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20privacy-centric%20microservice%20framework%20for%20secure%20FHIR-based%20integration%20of%20heterogeneous%20medical%20data%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ioan%22%2C%22lastName%22%3A%22Ungurean%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ovidiu%20Ionut%22%2C%22lastName%22%3A%22Gherman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandru%22%2C%22lastName%22%3A%22Lavric%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mihai%22%2C%22lastName%22%3A%22Dimian%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20Fragmentation%20across%20consumer%20wearables%2C%20hospital%20messaging%20systems%2C%20telehealth%20platforms%2C%20and%20cloud%20services%20impedes%20timely%20data%20reuse%20and%20increases%20privacy%20risks%2C%20for%20example%20through%20proprietary%20telemetry%2C%20legacy%20HL7v2%20messages%2C%20intermittent%20home%20connectivity%2C%20and%20inconsistent%20consent%20enforcement.%5CnOBJECTIVE%3A%20To%20design%20and%20evaluate%20a%20privacy-centric%20microservice%20framework%20that%20integrates%20heterogeneous%20medical%20data%20into%20Fast%20Healthcare%20Interoperability%20Resources%20%28FHIR%29%20while%20sustaining%20sub-second%20end-to-dashboard%20latency%20under%20realistic%20network%20conditions.%5CnMETHODS%3A%20We%20followed%20a%20security-%20and%20privacy-by-design%20process%20inspired%20by%20secure%20software%20development%20lifecycles%2C%20consolidating%20requirements%20from%20the%20GDPR%2C%20EHDS%20Regulation%2C%20and%20Zero%20Trust%20guidance%20into%20an%20explicit%20threat%20model.%20We%20built%20container-native%20services%20orchestrated%20with%20Kubernetes%20and%20enforced%20a%20Zero%20Trust%20posture%20using%20device-bound%20X.509%20certificates%20and%20mutual%20TLS.%20A%20hot-swappable%20adapter%20layer%20normalized%20HL7v2%2FIEEE%2011073%2Fproprietary%20telemetry%20to%20FHIR%20resources%20and%20persisted%20them%20in%20PostgreSQL%20with%20a%20row-level%20security.%20Performance%20tests%20replayed%20wearable%20sessions%20through%2050%20concurrent%20Android%20emulators%20over%20Wi-Fi%20and%204G%20and%20a%205%25%20random%20loss%20model.%20The%20outcomes%20were%20processing%2C%20ingestion%2C%20end-to-dashboard%20latencies%2C%20throughput%2C%20and%20resource%20utilization.%20Security%20probes%20assessed%20credential%20replay%2Fclone%2C%20injection%20attempts%2C%20horizontal%20privilege%20escalation%2C%20and%20volumetric%20DoS.%5CnRESULTS%3A%20The%20processing%20interval%20from%20NIC%20reception%20to%20storage%20remained%20below%20100%C2%A0ms%20%2895th%20percentile%29.%20On%204G%20%28RTT%C2%A0%E2%89%88%C2%A075%C2%A0ms%29%2C%20the%20ingestion%20latency%20was%20132%C2%A0ms%3B%20with%205%25%20random%20loss%2C%20the%20end-to-dashboard%20The%20security%20controls%20blocked%20credential%20replay%2Fclone%20attempts%2C%20neutralized%20injected%20SQL%2C%20enforced%20row-level%20isolation%2C%20and%20reduced%20the%20observed%20request%20rate%20in%20an%20illustrative%2050%2C000%20SYN%2Fs%20availability%20probe.%20These%20results%20represent%20an%20initial%20validation%20rather%20than%20a%20full%20penetration%20test%3B%20large-scale%20clinical%20deployments%20will%20require%20independent%20security%20assessments.%20The%20outcome%20is%20a%20Zero%20Trust%20FHIR%20reference%20implementation%20with%20an%20explicit%20threat%20model%2C%20device-bound%20enrollment%2C%20adapter-based%20normalization%2C%20row-level%20isolation%2C%20observability%2C%20and%20targeted%20validation.%5CnCONCLUSIONS%3A%20A%20zero-trust%20microservice%20architecture%20can%20deliver%20EHDS-aligned%20privacy%20controls%20and%20real-time%20analytics%20without%20compromising%20performance.%20Beyond%20the%20reference%20implementation%2C%20the%20work%20contributes%20a%20structured%20security-%20and%20privacy-by-design%20methodology%20and%20explicit%20threat%20model%20that%20can%20guide%20similar%20digital-health%20platforms.%22%2C%22date%22%3A%222026-05-11%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1016%2Fj.ijmedinf.2026.106477%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242114371%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221872-8243%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-17T11%3A54%3A40Z%22%7D%7D%2C%7B%22key%22%3A%22JDH9JUS6%22%2C%22library%22%3A%7B%22id%22%3A4928801%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Strate%20et%20al.%22%2C%22parsedDate%22%3A%222026-05-07%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1.%20%26lt%3B%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BStrate%20J%2C%20Hering%20A%2C%20Brintrup%20R%2C%20Krefting%20D%2C%20H%26amp%3B%23xFC%3Bbner%20UH.%20Assessing%20the%20Compliance%20of%20Nursing%20Data%20in%20a%20Rehabilitation%20Portal%20with%20the%20German%20ePatient%20Record%20%28ePA%29%20Standard%20for%20Nursing%20Discharges.%20Stud%20Health%20Technol%20Inform.%202026%20May%207%3B335%3A7%26amp%3B%23x2013%3B13.%20PMID%3A%2042119083%20%26lt%3Ba%20title%3D%26apos%3BCite%20in%20RIS%20Format%26apos%3B%20class%3D%26apos%3Bzp-CiteRIS%26apos%3B%20data-zp-cite%3D%26apos%3Bapi_user_id%3D4928801%26amp%3Bamp%3Bitem_key%3DJDH9JUS6%26apos%3B%20href%3D%26apos%3Bjavascript%3Avoid%280%29%3B%26apos%3B%26gt%3BCite%26lt%3B%2Fa%26gt%3B%20%26lt%3B%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%2Fdiv%26gt%3B%5Cn%26lt%3B%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Assessing%20the%20Compliance%20of%20Nursing%20Data%20in%20a%20Rehabilitation%20Portal%20with%20the%20German%20ePatient%20Record%20%28ePA%29%20Standard%20for%20Nursing%20Discharges%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jana%22%2C%22lastName%22%3A%22Strate%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Annika%22%2C%22lastName%22%3A%22Hering%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rhea%22%2C%22lastName%22%3A%22Brintrup%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dagmar%22%2C%22lastName%22%3A%22Krefting%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ursula%20H.%22%2C%22lastName%22%3A%22H%C3%BCbner%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVE%3A%20This%20study%20evaluated%20the%20compatibility%20of%20a%20Medical%20Informatics%20Initiative%20%28MII%29%20rehabilitation%20portal%20with%20the%20German%20HL7%20FHIR%20nursing%20discharge%20standard%20%28PIO%29%20for%20interoperability%20between%20acute%20care%20and%20rehabilitation.%5CnMETHODS%3A%20Using%20ISO%2FTR%2012300-based%20semantic%20mapping%2C%20995%20PIO%20items%20were%20analysed%20through%20seven%20equivalence%20categories%3A%20%280%29%20not%20represented%2C%20%281%29%20identical%20structured%2C%20%282%29%20free-text%20only%2C%20%283%29%20more%20detailed%20in%20PIO%2C%20%284a%29%20informal%20convention-based%2C%20%284b%29%20clearly%20unstructured%2C%20and%20%285%29%20indeterminate.%5CnRESULTS%3A%20Only%2021.61%25%20of%20the%20items%20were%20represented%20in%20a%20structured%20way%20in%20PIO%20and%20the%20rehabilitation%20portal%2C%20while%20the%20majority%20remained%20unstructured%20or%20less%20detailed%20%2869.95%25%29.%20A%20small%20number%20of%20items%20%286.83%25%29%20could%20not%20be%20represented%20in%20the%20portal%20at%20all%20%28category%200%29.%5CnCONCLUSION%3A%20The%20findings%20show%20that%20most%20nursing-relevant%20information%20in%20the%20rehabilitation%20portal%20was%20either%20unstructured%20or%20less%20detailed%20compared%20to%20the%20HL7%20FHIR%20PIO%20standard.%20Only%20about%20one%20fifth%20of%20items%20were%20available%20in%20a%20fully%20structured%20and%20standardised%20format.%20To%20improve%20digital%20interoperability%20and%20support%20high-quality%20care%20discharges%20and%20transfers%2C%20further%20development%20of%20structured%20fields%20is%20recommended.%22%2C%22date%22%3A%222026-05-07%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3233%2FSHTI260047%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22PMID%22%3A%2242119083%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221879-8365%22%2C%22language%22%3A%22eng%22%2C%22collections%22%3A%5B%227MQ854T6%22%5D%2C%22dateModified%22%3A%222026-05-17T11%3A54%3A07Z%22%7D%7D%5D%7D
1.
Schmiedmayer P, Johnson A, Schuetz N, Kollmer L, Goldschmidt P, Delgado-SanMartin J, Zhang KW, Mantena SD, Tolas A, Montalvo S, Ramirez-Posada M, O’Sullivan JW, Oppezzo M, King AC, Rodriguez F, Ashley E, Lawrie A, Kim DS. Design and rationale of the my heart counts cardiovascular health study: a large-scale, fully digital biobank, and randomized trial of large language model-driven coaching of physical activity. Am J Prev Cardiol. 2026 Aug;28:101565. PMCID: PMC13325983 Cite
1.
Eryılmaz B, Arzideh K, Bahn M, Damm H, Warmer S, Schäfer H, Idrissi-Yaghir A, Pakull TMG, Albrecht LJ, Kleesiek J, Lodde G, Friedrich CM, Livingstone E, Schadendorf D, Borys K, Nensa F, Hosch R. Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study. J Med Internet Res. 2026 July 2;28:e92413. PMCID: PMC13325620 Cite
1.
Jouned A, Kappel E, Schubert M, Katsch F, Duftschmid G. SyntheaWeb: A Web-Based Platform for the Generation and Interactive Inspection of Synthetic Healthcare Data. Stud Health Technol Inform. 2026 June 29;338:1–5. PMID: 42393946 Cite
1.
Priya V, Sedlmayr M, Henke E. Towards Data Quality Assessment and Standardized Representability of German Healthcare Claims Data for Secondary Use. Stud Health Technol Inform. 2026 June 29;338:16–20. PMID: 42393949 Cite
1.
Kimura E, Takahashi T, Sawada S. Bridging Fragmented PHR Ecosystems Through a Unified Document Terminology. Stud Health Technol Inform. 2026 June 29;338:140–141. PMID: 42393977 Cite
1.
Toppmöller M, Steinhagen B, Albrecht UV. Integrating Seismocardiographic Signals into Standardized Interfaces to Merge into the European Health Data Space (EHDS). Stud Health Technol Inform. 2026 June 29;338:196–200. PMID: 42393990 Cite
1.
Ladas N, Franz S, Ballout S, Rietschel MP, Marschollek M, Gietzelt M. CAS2FHIR: Transforming UIMA CAS Annotations to FHIR Bundles. Stud Health Technol Inform. 2026 June 29;338:569–573. PMID: 42394070 Cite
1.
Hauptfeld L, Csarmann A, Grob M, Liepold J, Rappelsberger A, Adlassnig KP. Ask Not What Your Server Can Do For You: A Fast Query Compatibility Strategy for Navigating FHIR Implementation Gaps. Stud Health Technol Inform. 2026 June 29;338:658–662. PMID: 42394089 Cite
1.
Abedian S, Boscá D, Kohler S. Interoperability-Driven Digital Twins in Healthcare: A Conceptual and Technical Analysis of FHIR, openEHR, and OMOP. Stud Health Technol Inform. 2026 June 29;338:668–672. PMID: 42394091 Cite
1.
Njei B, Sidney Kanmounye U. An Explainable AI Framework for Continuous Monitoring, Risk Stratification, and Clinical Decision Support in Primary Biliary Cholangitis: Protocol for a Multiphase Development and Validation Study. JMIR Res Protoc. 2026 June 24;15:e89279. PMCID: PMC13294514 Cite
1.
Hampf C, Pley AW, Penndorf P, Moser FM, Lang S, Werner P, Kästner A, Leddig T, Stahl D, Hoffmann W, Bialke M. Implementing informed consent in federated medical research: a blueprint designed to safeguard data subject rights in Germany. J Transl Med. 2026 June 23;24(1):828. PMCID: PMC13317252 Cite
1.
Patterson J, Minto E, Beaton M, Anand A, Velez M, Harris P, Hripcsak G, Natarajan K. A comparison of Fast Healthcare Interoperability Resources and Observational Medical Mutcomes Partnership electronic health record data within the All of Us Research Program. J Am Med Inform Assoc. 2026 June 23;ocag095. PMID: 42334204 Cite
1.
Hampf C, Pley AW, Penndorf P, Moser FM, Lang S, Werner P, Kästner A, Leddig T, Stahl D, Hoffmann W, Bialke M. Implementing informed consent in federated medical research: a blueprint designed to safeguard data subject rights in Germany. J Transl Med. 2026 June 23; PMID: 42337801 Cite
1.
Ferreira JC, Faria P. Automated video-based AVPU assessment within a FHIR-enabled clinical decision support framework. Sci Rep. 2026 June 22; PMID: 42332118 Cite
1.
Corrêa Rampinelli VP, Dos Santos RA, Celuppi IC, Santos GN, Hammes JF, Cunha CL, Wazlawick RS, Dalmarco EM. Fast healthcare interoperability resources (FHIR) implementation guide creation process: scoping review. Int J Med Inform. 2026 June 18;219:106548. PMID: 42322886 Cite
1.
Serrano García A, López D, Macias-Fassio E, Salas-Sosa S, Pascual I, Pruenza C, Borges-Sa M, Giglio A, Cruz-Rojo J, Pacheco-Puig R. From development to clinical practice: deployment of an interoperable and secure ML-based CDSS to aid in the early detection of sepsis. Int J Med Inform. 2026 June 17;219:106545. PMID: 42308952 Cite
1.
Chen Y, Qin X, Chen S. Foundation Models and AI Agents in Digital Pathology Imaging: A Systematic Review of Integration into the Clinical Workflow and Implementation Challenges. J Imaging Inform Med. 2026 June 15; PMID: 42298093 Cite
1.
Kesselmeier M, Thalheim T, Schmidt F, Peschel T, Palm J, Strübing A, Medek A, Przybilla J, Wermund AM, Maas R, Härterich S, Redeker L, Federbusch M, Steinbach D, Gewehr J, Wurlitzer M, Riedel A, Meineke F, Neumann D, Scherag A, Loeffler M, POLAR_MI. A distributed analysis approach for pharmacovigilance data from electronic medical records in German university hospitals: the POLAR_MI ETL Pipeline. BMC Med Inform Decis Mak. 2026 June 15;26(1):220. PMCID: PMC13270667 Cite
1.
Sharma V, McDermott JH, Keen J, Koikkalainen H, McNicoll I, Davies A, Newman WG. Development and validation of an open data model for pharmacogenetics to enable semantic interoperability in clinical practice. Pharmacogenomics J. 2026 June 13;26(3):27. PMID: 42285967 Cite
1.
Hogstrom L, Laurinavicius A, Alvarez MG, Nakken S, Guldvik IJ, Sanchez CM, Papadodima O, Voutetakis K, Mæhle PM, Zerbe N, Šekerija M, Fullaondo A, Hovig E. European cancer data sharing: Analyses of an international survey. Int J Med Inform. 2026 June 10;218:106544. PMID: 42284829 Cite
1.
Soohoo SL, Keller MS, Chen Y, Hu D, Huang SC, Kuo TT, Leder C, Lu X, Meeker D, Morse B, Moyse H, Nagaraj G, Nguyen AT, Schilling LM, Soares A, Whooley MA, Zheng K, Ohno-Machado L. Development of the authentication and authorization processes for the iAgree portal, a platform for patient-controlled data sharing across health systems. JAMIA Open. 2026 June;9(3):ooag111. PMCID: PMC13289608 Cite
1.
Eapen BR, Adaramewa OM, Li X. LLM-in-the-Loop execution of clinical quality language. JAMIA Open. 2026 June;9(3):ooag099. PMCID: PMC13264386 Cite
1.
Jiao A, Hussain M, Sippel Schmidt T, Hutson K, Magudia K, Wiggins W, Dhami A, Tejani A, Jo N, Duvvuri M, Gandhi N, Prevedello L, Heilbrun ME, Andriole KP. Radiology Reimagined: Interoperability and Lessons Learned from the Imaging AI in Practice Demonstration. Radiology. 2026 June;319(3):e252225. PMID: 42301015 Cite
1.
App SJ, Meyer AM, Silkensen S, Hudson C, Inman I, Niedner RH, Sincan M, Shaalan Beg M, Topaloglu U. Follow the data: tracking data quality and completeness in oncology real-world data. JAMIA Open. 2026 June;9(3):ooag052. PMCID: PMC13143418 Cite
1.
Cheng AC, Banasiewicz MK, Gibbs KW, Briceno G, Iadanza D, Khan A, Landreth L, de Veer B, Moyer EL, Seitz KP, Johnson JD, Delacqua F, Lewis AA, Collins SP, Self WH, Shotwell MS, Lindsell CJ, Casey JD, Harris PA. Multisite evaluation of automated electronic case report form data entry from electronic health records. J Biomed Inform. 2026 May 29;105060. PMID: 42217712 Cite
1.
Braga RD, Leitao-Junior PS, Castilho SB, Souza DA, Oliveira LB, Oliveira MLD, Esmeraldo LL, Tibiriçá CAG, Guimarães DF, Nogueira AR, Vilela LM, Ribeiro-Rotta RF, Lucena FN, Souza-Zinader JP. Prenatal monitoring in primary health care: a design science research-based approach to FHIR interoperability. J Biomed Semantics. 2026 May 25; PMID: 42185933 Cite
1.
Avakian A. Vision-language models as an integrative layer for clinical artificial intelligence in radiology: A systems-level perspective. Clin Imaging. 2026 May 22;136:110841. PMID: 42176405 Cite
1.
Eapen BR, Singh N. Navigating the “Valley of Death”: An Open-Source, Modular Framework for Generative AI in Healthcare. Stud Health Technol Inform. 2026 May 21;336:1561–1562. PMID: 42175143 Cite
1.
Hochwarter S, Stampfer P, Truskaller T, Feichtner F. PreNUDGE: A Platform Ecosystem for Digital Prevention. Stud Health Technol Inform. 2026 May 21;336:1581–1582. PMID: 42175153 Cite
1.
Shin D, Park M, Yoon HJ. A Web3-Based Patient-Centric Health Data Management System. Stud Health Technol Inform. 2026 May 21;336:1585–1586. PMID: 42175155 Cite
1.
Sawa T, Sakurai R, Ohe K. HeXEHRS: Design and Implementation of a FHIR-Based Cloud EHR and Client for Depopulated Regions with AI and Digital-Twin Integration. Stud Health Technol Inform. 2026 May 21;336:1601–1602. PMID: 42175163 Cite
1.
Enamorado Díaz E, García-García JA, Escalona MJ, Thomaschewski J. Exploring Virtual Healthcare Scenarios Through Model-Driven Healthcare Engineering. Stud Health Technol Inform. 2026 May 21;336:1611–1612. PMID: 42175168 Cite
1.
Adlberger S, Bauernfeind S, van den Broek M, Pointner A, Arthofer K, Krauss O. Leveraging Synthetic Patient Data for Process Mining in Healthcare. Stud Health Technol Inform. 2026 May 21;336:1634–1638. PMID: 42175173 Cite
1.
Erturkmen GBL, Sarigul B, Yuksel M, Bulgheroni M, Atzeni M, Headley L, Camacho M, Martin-Isla C, Linkohr B, Jarva E, Sebert S. Design of an Interoperability Architecture for STAGE Person-Centred Applications for Clinicians and Ageing Citizens. Stud Health Technol Inform. 2026 May 21;336:1644–1648. PMID: 42175175 Cite
1.
Gazzarata R, Muraca M, Beccaria A, Nicolas B, Bagnasco F, Cangioli G, Bars W, Chronaki C, Saraceno D, Haupt R. Standardizing Late-Effects Data Capture in Childhood Cancer Survivorship: A FHIR-Based Follow-Up Questionnaire. Stud Health Technol Inform. 2026 May 21;336:1674–1678. PMID: 42175181 Cite
1.
Gazzarata R, Cangioli G, Bars W, Chronaki C, Gaeta E, Zulaika U, Falanga V, Saccà F, Trama A, IDEA4RC Working Group. Developing an HL7 FHIR Implementation Guide for Rare Cancers: The IDEA4RC Project Experience. Stud Health Technol Inform. 2026 May 21;336:1679–1684. PMID: 42175182 Cite
1.
Boehm D, Schindler M, Strantz C, Unberath P. Support for Molecular Tumor Board Presentations in cBioPortal. Stud Health Technol Inform. 2026 May 21;336:1741–1745. PMID: 42175194 Cite
1.
Markatou EA, Chronaki C. Health Data Set Bias Examination in the European Health Data Space. Stud Health Technol Inform. 2026 May 21;336:1761–1765. PMID: 42175198 Cite
1.
Hernández A, Carolo G, Arias A, Agüero G, Sanz F. Development and Implementation of a Digital Tool for Fluid Balance Management in Hospitalized Pediatric Patients: Potential Impact on Morbidity and Mortality Associated with Fluid Therapy. Stud Health Technol Inform. 2026 May 21;336:1820–1821. PMID: 42175220 Cite
1.
Lima V, Almeida R, Calvi I, Domingues D, Martins R, Bernardi F, Conceição L, Freitas A. From Spreadsheets to FHIR and Research Databases: Digitizing Medication Data in Elderly Care Within the RM4Health Project. Stud Health Technol Inform. 2026 May 21;336:1835–1839. PMID: 42175225 Cite
1.
Raza A, Esposito C, Giacomini M. Large Language Models for Automating Conformance to Health-Data Standards: The Interoperability Case of HL7 FHIR and OMOP. Stud Health Technol Inform. 2026 May 21;336:1870–1874. PMID: 42175232 Cite
1.
Nakayama M. Handling of Nursing Care Information in Personal Health Records. Stud Health Technol Inform. 2026 May 21;336:1957–1958. PMID: 42175260 Cite
1.
Loureiro PDJ. Digital Infoveillance for Zoonotic Diseases: Towards EHDS-Ready One Health Integration. Stud Health Technol Inform. 2026 May 21;336:2115–2116. PMID: 42175301 Cite
1.
Cardozo BM, Rodrigues RR, Sasso GTMD, Barra DCC. Results of the Application of the E4Nursing® Platform in Nurses’ Clinical Decision-Making. Stud Health Technol Inform. 2026 May 21;336:2274–2275. PMID: 42175341 Cite
1.
Frei J, Kramer F. Context-Free Grammar-Guided Generation of FHIR Resources Using Large Language Models. Stud Health Technol Inform. 2026 May 21;336:2498–2502. PMID: 42175392 Cite
1.
Wi CI, Overgaard S, Malik M, Watson D, Sharma D, Le-Rademacher J, Kelleher D, Zheng L, Ohde J, Lynch B, Khurana A, Sohn S, AlJuhani MM, Carpenter C, Arteta M, Greenwood J, Hartz M, Foss R, Polat E, Absah I, Davis C, Gupta M, Myers L, Nordlund B, Tao C, Wieland ML, Patten C, Jones A, Varkey P, Loufek BT, Vidal DE, Gopala N, Klee E, Shah VH, Halamka JD, Callstrom MR, Rider NL, Liu H, Aliferis C, D Garovic V, J Juhn Y. A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS). J Natl Med Assoc. 2026 May 13;S0027-9684(26)00064–7. PMID: 42128801 Cite
1.
Park K. Diagnostic stewardship monitoring systems: institutional and system-level approaches. Crit Rev Clin Lab Sci. 2026 May 12;1–17. PMID: 42116750 Cite
1.
Bikia V, Schmiedmayer P, Zahedivash A, Aalami L, Rao A, Ravi V, Turk M, Ceresnak SR, Aalami O. Spezi Data Pipeline: Streamlining FHIR-based interoperable digital dealth data workflows. NPJ Digit Med. 2026 May 12; PMID: 42120671 Cite
1.
Ungurean I, Gherman OI, Lavric A, Dimian M. A privacy-centric microservice framework for secure FHIR-based integration of heterogeneous medical data. Int J Med Inform. 2026 May 11;216:106477. PMID: 42114371 Cite
1.
Strate J, Hering A, Brintrup R, Krefting D, Hübner UH. Assessing the Compliance of Nursing Data in a Rehabilitation Portal with the German ePatient Record (ePA) Standard for Nursing Discharges. Stud Health Technol Inform. 2026 May 7;335:7–13. PMID: 42119083 Cite