Bibliography of Studies About HL7® FHIR®

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Full FHIR Bibliography

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1.
Tamana S, Yiangou K, Orphanou K, Chatzimatthaiou S, Kountouris P, Cremonesi F. FAIR data gaps and collaboration willingness among hemoglobinopathy research centers. Sci Data. 2026 Mar 3; PMID: 41775724 Cite
1.
Cahill M, O’Shaughnessy F, Boland F, Ainle FN, Donnelly J, Cullinan S, Cleary BJ. Accuracy, Efficiency, and usability of a Semi-Automated SMART on FHIR venous thromboembolism risk assessment App: A randomised crossover simulation study. Int J Med Inform. 2026 Mar 3;213:106367. PMID: 41785738 Cite
1.
Tahar K, Verbuecheln R, Martin T, Graessner H, Biergans S, Krefting D. Sharing EHR data of patients with rare diseases for research - The role of quality assessments in a national federated research data infrastructure. BMC Med Inform Decis Mak. 2026 Mar 2;26(1):60. PMCID: PMC12955070 Cite
1.
Kubota K, Urakawa R. From “Black Box” to Learning System: Formative Viewpoint on Digital Health Governance for Childhood Cancer Information in Japan. JMIR Form Res. 2026 Feb 25;10:e86775. PMID: 41740961 Cite
1.
Norouzi S, Agah J, Sarkohi Z, Ahmadian L. Development of a minimum data set for a pediatric and neonatal Medication Administration Clinical Decision Support System (MACDSS), mapped to FHIR: a mixed-methods research synthesis. BMC Med Inform Decis Mak. 2026 Feb 21; PMID: 41723409 Cite
1.
Ehrler F, Rajic A, De Masi A, Olanka S, Generelli M, Davidson J, Lin Y, Kim K, Rebours PL, Ibrahim M, Duncan D, Kang R, Manzano S, Cheng A, Siebert JN. Overview of a User-Centered, Mixed-Methods Process for Designing Interconnected and Focused Mobile Applications on Patient Care Environment (InterFACE): Augmented-Reality Decision Support System for Pediatric Resuscitation. JMIR Hum Factors. 2026 Feb 13;13:e78144. PMCID: PMC12904346 Cite
1.
Ilamvaluthy Y, Nadeswaran T. Enabling Data Sharing for Hospital-to-Community Transitions in the Toronto Region: A Stakeholder-Informed System Architecture Solution. Stud Health Technol Inform. 2026 Feb 12;334:57–61. PMID: 41685473 Cite
1.
Numor S, Keshavjee K, Vitorelli R. Designing a Trace-Monitor-and-Act Surveillance Framework for Preventing Foodborne Disease Outbreaks in Ghana. Stud Health Technol Inform. 2026 Feb 12;334:148–149. PMID: 41685498 Cite
1.
Alper BS, Dehnbostel J, Lehmann H. Evidence-based medicine on FHIR augments the standards-based approach to digital health research. J Am Med Inform Assoc. 2026 Feb 10;ocag024. PMID: 41691655 Cite
1.
Mokssit Y, Ravi K, Nie M, Kim J, Liu C. FHIR-AgentEval: A Modular Sandbox for Benchmarking Clinical LLM Agents with an Evaluation of Memory-Augmented Configurations. Res Sq. 2026 Feb 9;rs.3.rs-8746188. PMCID: PMC12919212 Cite
1.
Hoang MT, Donnelly C, Igasto C, Shetty A, Pradhan M, Shaw T. Data-Driven Guideline Adherence in Data Representation and Compliance Measurement: Scoping Review. J Med Internet Res. 2026 Feb 9;28:e79937. PMCID: PMC12885449 Cite
1.
Hamamoto R, Koyama T, Takahashi S, Yasuda T, Kobayashi K, Akagi Y, Kouno N, Sudo K, Hirata M, Sunami K, Kubo T, Katayama H, Takashima A, Taniguchi T, Matsumoto H, Shibaki R, Asada K, Komatsu M, Kaneko S, Yamada M, Horinouchi H, Tanaka K, Goto Y, Kato K, Saito Y, Nakamura K, Yamamoto N. Implementing generative artificial intelligence in precision oncology: safety, governance, and significance. J Hematol Oncol. 2026 Feb 9;19(1):14. PMCID: PMC12896320 Cite
1.
Marsolo K, Louzao D, Hart K, Shrader P, Hawley J, Delacqua F, Thomas E, Wick J, Chamberlain AM, Jones WS, Rothman R, Harris PA, Cheng AC. Investigating the Use of the Fast Health Care Interoperability Resources (FHIR) Standard to Support Data Activities Across the PCORnet® Infrastructure: Lessons Learned From the FHIR Pilots of the Coordinating Center for PCORnet®. Med Care. 2026 Feb 1;64(2S Suppl 3):S233–S241. PMCID: PMC12783352 Cite
1.
Kramer MA, Mathur A, Adams CE, Walonoski JA. Leveraging generative AI to enhance Synthea model development. JAMIA Open. 2026 Feb;9(1):ooaf123. PMCID: PMC12772637 Cite
1.
Mazumder R, Keeney J, Johnson L, Krammer L, McNeely P, Sepulveda J, Hangen D, Martin M, Jyothi D, De Almeida J, McGarvey P, Alaoui A, Cha S, Sedrakyan A, Shoelle E, Matheny M, LeNoue-Newton M, Winter R, Deppen S, Simonyan V, Horvath A. From use cases to infrastructure: a cross-institutional survey of priorities in data-driven biomedical research. J Am Med Inform Assoc. 2026 Jan 20;ocag001. PMID: 41556955 Cite
1.
Tremper G, Brenner T, Ben Amor M, Kussel T, Lablans M. Mainzelliste: Ten years of pseudonymization, record linkage, and informed consent management. Patterns (N Y). New York, N.Y.; 2026 Jan 9;7(1):101432. PMCID: PMC12827741 Cite
1.
Kim B, Lee J. Development of a FHIR-based Korean IPS Data Pipeline and User-Centered UI Design. Sci Rep. 2026 Jan 6; PMID: 41495243 Cite
1.
Ohlsen T, Sander A, Ingenerf J. ECLed- a tool supporting the effective use of the SNOMED CT Expression Constraint Language. J Biomed Semantics. 2026 Jan 6;17(1):1. PMCID: PMC12777381 Cite
1.
Garza MY, Wang Z, Adagarla B, Rutherford MW, Topaloglu U, Benjamin DK, Zimmerman KO, Eisenstein EL, Kumar KR, Best Pharmaceuticals for Children Act – Pediatric Trials Network Steering Committee. Evaluation of electronic health record to HL7® FHIR® mappings in pediatric research studies. Int J Med Inform. 2026 Jan 4;209:106265. PMID: 41529640 Cite
1.
Traverso A, Tiano D, Corvaglia A, Dimonte A, Draetta EL, Fabiani B, Scuri P, Barbieri S, Agazzi M, Arslan M, Celada D, Chiabrando F, Cibrario L, Cielo G, Colombo A, Contini S, Liberotti M, Montagna M, Ogliari FR, Palmisano A, Pisu F, Serra D, Varani D, Vignale D, Vitali AL, Zambello A, Chiapponi C, Denti M, Esposito A, Tacchetti C. Powering responsible artificial intelligence with high-quality real-world data: the S-RACE platform for scalable, multi-specialty clinical research. NPJ Digit Med. 2026 Jan 3;9(1):6. PMCID: PMC12770359 Cite
1.
Sunchu K, Desai AP, Vuppalanchi R, Purkayastha S. A pilot feasibility study of human-centered design for cirrhosis care: Development and pilot testing of SMARTLiver prototype, a FHIR-based clinical decision support system for hepatology. PLOS Digit Health. 2026 Jan;5(1):e0000969. PMCID: PMC12818595 Cite
1.
LeGrand J, Ali MS, Flynn A, Arzac J, Lester C, Dorsch MP. Linking FHIR-Based Medication Data to a Computable Algorithm for Heart Medication Optimization: A Critical Component of Any Medication Learning Health System. Learn Health Syst. 2026 Jan;10(1):e70064. PMCID: PMC12816155 Cite
1.
Nopour R. Using FHIR for data sharing: A scoping review of challenges and facilitators in healthcare settings. Int J Med Inform. 2026 Jan;205:106128. PMID: 41072202 Cite
1.
Grau L, Urrunaga J, Santisteban J. WiraChain: a blockchain and FHIR-based platform for improving clinical data interoperability in healthcare. Front Public Health. 2026;14:1746772. PMCID: PMC12929507 Cite
1.
Chen E, Postelnik S, Black K, Jiang Y, Chen JH. MedAgentBench v2: Improving Medical LLM Agent Design. Pac Symp Biocomput. 2026;31:354–371. PMID: 41758153 Cite
1.
Ardel HK, Randmaa R, Bossenko I, Piho G, Ross P. Toward bidirectional FHIR-OMOP CDM transformations using TermX to support the secondary use of real-world health data within a patient-centered digital health paradigm. Front Med (Lausanne). 2026;13:1736785. PMCID: PMC12935678 Cite
1.
Schmidt CS, Wutzkowsky J, Schäfer H, Reinartz L, Chahin H, Winnekens P, Alsulaiman JA, Temme C, Lenz V, Hosch R, Nensa F, Friedrich CM, Böckmann B, Horn PA. A real-time dashboard for optimizing blood product utilization through a FHIR-based data integration pipeline. Transfus Apher Sci. 2025 Dec 19;65(1):104301. PMID: 41477957 Cite
1.
Hornback A, Marteau B, Tan SQY, Kim K, Patil O, Traynelis J, Zhu Y, Giuste F, Wang MD. FHIR in Focus: Enabling Biomedical Data Harmonization for Intelligent Healthcare Systems. IEEE Rev Biomed Eng. 2025 Dec 10;PP. PMID: 41370171 Cite
1.
Dörenberg J. Synoptic reporting : Chances and challenges for secondary use of pathology data in biobanking. Pathologie (Heidelb). 2025 Dec 8; PMID: 41359124 Cite
1.
C RS, D Y, Nallakaruppan MK, Natesan D, Sayeed MS, Kaveri PR, Sathyamoorthy M. A DAG-enabled cryptographic framework for secure drug traceability with identity-bound authentication and anomaly detection. Sci Rep. 2025 Dec 3;16(1):953. PMCID: PMC12783773 Cite
1.
C RS, D Y, Nallakaruppan MK, Natesan D, Sayeed MS, Kaveri PR, Sathyamoorthy M. A DAG-enabled cryptographic framework for secure drug traceability with identity-bound authentication and anomaly detection. Sci Rep. 2025 Dec 3; PMID: 41339443 Cite
1.
Mantri M, Satokar S, Tambe P, Bhutad C. FHIR Standard-Based Oncology Data Model for Cancer Screening: Design and Implementation Study. JMIR Cancer. 2025 Dec 2;11:e79011. PMID: 41329957 Cite
1.
Mantri M, Satokar S, Tambe P, Bhutad C. FHIR Standard-Based Oncology Data Model for Cancer Screening: Design and Implementation Study. JMIR Cancer. 2025 Dec 2;11:e79011. PMID: 41329957 Cite
1.
Blidaru TC, Forray AI, Garofil D, Mezinu-Bălan L, Lazăr O, Stoea I, Vlădescu C, Dașcă L, Iordache G, Iliescu R, Sîmbotin R, Anghel O, Voda AM, Mohîrță D, Pitel E, Vatachki G, Deleanu V, Cocuz I. Building health system resilience in Romania: a consensus on policy priorities. J Med Life. 2025 Dec;18(12):1083–1093. PMCID: PMC12863105 Cite
1.
Wiedekopf J, Ohlsen T, Kock-Schoppenhauer AK, Ingenerf J. BabelFSH-a toolkit for an effective HL7 FHIR-based terminology provision. J Biomed Semantics. 2025 Nov 29; PMID: 41318591 Cite
1.
Marques M, Delgado-Gomes V, Januário F, Lopes C, Jardim-Goncalves R, Agostinho C. The B-Health Box: A Standards-Based Fog IoT Gateway for Interoperable Health and Wellbeing Data Collection. Sensors (Basel). 2025 Nov 21;25(23):7116. PMCID: PMC12693854 Cite
1.
Graefe ASL, Rehburg F, Alkarkoukly S, Danis D, Grönke A, Hübner MR, Bartschke A, Debertshäuser T, Klopfenstein SAI, Saß J, Fleck J, Rehberg M, Zschüntzsch J, Nyoungui EF, Kalashnikova T, Murguía-Favela L, Derfalvi B, Wright NAM, Moosa S, Ogishima S, Semler O, Wiegand S, Kühnen P, Mungall CJ, Haendel MA, Robinson PN, Thun S, Beyan O. RareLink: scalable REDCap-based framework for rare disease interoperability linking international registries to FHIR and Phenopackets. NPJ Genom Med. 2025 Nov 18;10(1):72. PMCID: PMC12627670 Cite
1.
Finster M, Wenzel M, Taghizadeh E. Common data models and data standards for tabular health data: a systematic review. BMC Med Inform Decis Mak. 2025 Nov 13;25(1):422. PMCID: PMC12616946 Cite
1.
Braunstein M, Dobbins C, Steel J, Hansen D. FHIR Project-Based Training for Australia’s Digital Health Workforce. Stud Health Technol Inform. 2025 Nov 12;333:8–13. PMID: 41235484 Cite
1.
Simjanoska Misheva M, Shahpaski D, Dobreva J, Bukovec D, Gjorgjioski B, Nikolov M, Frtunikj D, Lameski P, Aliu A, Mishev K, Gams M. AI Act Compliance Within the MyHealth@EU Framework: Tutorial. J Med Internet Res. 2025 Nov 10;27:e81184. PMID: 41213096 Cite
1.
Thayer JG, Jenssen BP, Fiks AG, Karavite D, Ramachandran J, Kelleher S, Nekrasova E, Drehmer JE, Nabi-Burza E, Winickoff JP, Grundmeier RW. Combining International Standards to Develop Clinical Decision Support for Parent Smoking Cessation in Pediatrics. J Med Internet Res. 2025 Nov 5;27:e75198. PMCID: PMC12588596 Cite
1.
Nothacker M, Stegbauer C, Burckhardt M, Nink-Grebe B, Eisele-Metzger A, Meerpohl J, Mueller I, Kopp I, Dissolve-E study group. Digitalisation of the guideline registry of the Association of Scientific Medical Societies in Germany for an open, guideline-based, trustworthy evidence ecosystem (Dissolve-E): a protocol of a before-after study with different user groups. BMJ Open. 2025 Nov 4;15(11):e095294. PMCID: PMC12587974 Cite
1.
Hohenstein B, Binder T, Kramann R. [AI Application in Nephrological Diagnostics]. Dtsch Med Wochenschr. 2025 Nov;150(23):1403–1410. PMID: 41213532 Cite
1.
Borys K, Hartmann EM, Idrissi-Yaghir A, Livingstone E, Lodde G, Schmidt CS, Winnekens P, Friedrich CM, Hosch R, Nensa F. DermaDashboard: Bridging the Gap Between FHIR Standards and Clinical Usability. JMIR Cancer. 2025 Oct 22;11:e73691. PMCID: PMC12543034 Cite
1.
Liu S, McCoy AB, Sittig DF, Peterson JF, Lasko TA, Wright A. A standard-based taxonomy of features that affect user response to clinical decision support alerts. BMC Med Inform Decis Mak. 2025 Oct 21;25(1):389. PMCID: PMC12542428 Cite
1.
Barbaria S, Jemai A, Ceylan Hİ, Muntean RI, Dergaa I, Boussi Rahmouni H. Advancing Compliance with HIPAA and GDPR in Healthcare: A Blockchain-Based Strategy for Secure Data Exchange in Clinical Research Involving Private Health Information. Healthcare (Basel). 2025 Oct 15;13(20):2594. PMCID: PMC12563691 Cite
1.
Engelke M, Baldini G, Kleesiek J, Nensa F, Dada A. FHIR-Former: enhancing clinical predictions through Fast Healthcare Interoperability Resources and large language models. J Am Med Inform Assoc. 2025 Oct 13;ocaf165. PMID: 41082356 Cite
1.
Adegoke K, Adegoke A, Dawodu D, Adekoya A, Bayowa A, Kayode T, Singh M. Interoperability as a Catalyst for Digital Health and Therapeutics: A Scoping Review of Emerging Technologies and Standards (2015-2025). Int J Environ Res Public Health. 2025 Oct 8;22(10):1535. PMCID: PMC12563453 Cite
1.
Adapa K, Rajan S, Mazur L. From Principles to Practice: Use Cases and Best Practices in Standards Implementation. Stud Health Technol Inform. 2025 Oct 3;330:25–51. PMID: 41728688 Cite
1.
Abedian S, Yesakov E, Ostrovskiy S, Hussein R. Integrating Garmin Wearable Data into FHIR-Based Health Systems for Improved Interoperability. Stud Health Technol Inform. 2025 Oct 2;332:185–189. PMID: 41041771 Cite