LOINC® (Logical Observation Identifiers Names and Codes) is the universal standard for identifying health measurements, observations, and documents. When used in conjunction with exchange standards such as HL7 version 2 or FHIR, LOINC’s universal observation identifiers are an essential ingredient for sharing and understanding clinical and laboratory data from many sources.
From 2006 to 2019, Dr. Vreeman was the Director, LOINC and Health Data Standards with the Regenstrief Institute, Inc. and the inaugural Regenstrief–McDonald Scholar in Data Standards at the Indiana University School of Medicine. In those roles, he led the development of LOINC, an open vocabulary standard for health measurements, observations and documents that is now used in more than 185 countries.
Publications
1095885
TQHS9NSE
LOINC
1
vancouver
50
date
desc
1
1521
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%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22F9FWIBIY%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Zhang%20et%20al.%22%2C%22parsedDate%22%3A%222019%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EZhang%20XA%2C%20Yates%20A%2C%20Vasilevsky%20N%2C%20Gourdine%20JP%2C%20Callahan%20TJ%2C%20Carmody%20LC%2C%20et%20al.%20Semantic%20integration%20of%20clinical%20laboratory%20tests%20from%20electronic%20health%20records%20for%20deep%20phenotyping%20and%20biomarker%20discovery.%20NPJ%20Digit%20Med.%202019%3B2.%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3DW5LUQDRS%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Semantic%20integration%20of%20clinical%20laboratory%20tests%20from%20electronic%20health%20records%20for%20deep%20phenotyping%20and%20biomarker%20discovery%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Xingmin%20Aaron%22%2C%22lastName%22%3A%22Zhang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amy%22%2C%22lastName%22%3A%22Yates%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nicole%22%2C%22lastName%22%3A%22Vasilevsky%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J.%20P.%22%2C%22lastName%22%3A%22Gourdine%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tiffany%20J.%22%2C%22lastName%22%3A%22Callahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Leigh%20C.%22%2C%22lastName%22%3A%22Carmody%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22Danis%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marcin%20P.%22%2C%22lastName%22%3A%22Joachimiak%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vida%22%2C%22lastName%22%3A%22Ravanmehr%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Emily%20R.%22%2C%22lastName%22%3A%22Pfaff%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22James%22%2C%22lastName%22%3A%22Champion%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kimberly%22%2C%22lastName%22%3A%22Robasky%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Hao%22%2C%22lastName%22%3A%22Xu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Karamarie%22%2C%22lastName%22%3A%22Fecho%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nephi%20A.%22%2C%22lastName%22%3A%22Walton%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Richard%20L.%22%2C%22lastName%22%3A%22Zhu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Justin%22%2C%22lastName%22%3A%22Ramsdill%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%20J.%22%2C%22lastName%22%3A%22Mungall%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sebastian%22%2C%22lastName%22%3A%22K%5Cu00f6hler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Melissa%20A.%22%2C%22lastName%22%3A%22Haendel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clement%20J.%22%2C%22lastName%22%3A%22McDonald%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J.%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%20B.%22%2C%22lastName%22%3A%22Peden%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tellen%20D.%22%2C%22lastName%22%3A%22Bennett%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22James%20A.%22%2C%22lastName%22%3A%22Feinstein%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Blake%22%2C%22lastName%22%3A%22Martin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Adrianne%20L.%22%2C%22lastName%22%3A%22Stefanski%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lawrence%20E.%22%2C%22lastName%22%3A%22Hunter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%20G.%22%2C%22lastName%22%3A%22Chute%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Peter%20N.%22%2C%22lastName%22%3A%22Robinson%22%7D%5D%2C%22abstractNote%22%3A%22Electronic%20Health%20Record%20%28EHR%29%20systems%20typically%20define%20laboratory%20test%20results%20using%20the%20Laboratory%20Observation%20Identifier%20Names%20and%20Codes%20%28LOINC%29%20and%20can%20transmit%20them%20using%20Fast%20Healthcare%20Interoperability%20Resource%20%28FHIR%29%20standards.%20LOINC%20has%20not%20yet%20been%20semantically%20integrated%20with%20computational%20resources%20for%20phenotype%20analysis.%20Here%2C%20we%20provide%20a%20method%20for%20mapping%20LOINC-encoded%20laboratory%20test%20results%20transmitted%20in%20FHIR%20standards%20to%20Human%20Phenotype%20Ontology%20%28HPO%29%20terms.%20We%20annotated%20the%20medical%20implications%20of%202923%20commonly%20used%20laboratory%20tests%20with%20HPO%20terms.%20Using%20these%20annotations%2C%20our%20software%20assesses%20laboratory%20test%20results%20and%20converts%20each%20result%20into%20an%20HPO%20term.%20We%20validated%20our%20approach%20with%20EHR%20data%20from%2015%2C681%20patients%20with%20respiratory%20complaints%20and%20identified%20known%20biomarkers%20for%20asthma.%20Finally%2C%20we%20provide%20a%20freely%20available%20SMART%20on%20FHIR%20application%20that%20can%20be%20used%20within%20EHR%20systems.%20Our%20approach%20allows%20readily%20available%20laboratory%20tests%20in%20EHR%20to%20be%20reused%20for%20deep%20phenotyping%20and%20exploits%20the%20hierarchical%20structure%20of%20HPO%20to%20integrate%20distinct%20tests%20that%20have%20comparable%20medical%20interpretations%20for%20association%20studies.%22%2C%22date%22%3A%222019%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1038%5C%2Fs41746-019-0110-4%22%2C%22ISSN%22%3A%222398-6352%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%5D%2C%22dateModified%22%3A%222019-05-26T10%3A07%3A58Z%22%7D%7D%2C%7B%22key%22%3A%22FRGEJRKC%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Bodenreider%20et%20al.%22%2C%22parsedDate%22%3A%222018-08%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EBodenreider%20O%2C%20Cornet%20R%2C%20Vreeman%20DJ.%20Recent%20Developments%20in%20Clinical%20Terminologies%20-%20SNOMED%20CT%2C%20LOINC%2C%20and%20RxNorm.%20Yearb%20Med%20Inform.%202018%20Aug%3B27%281%29%3A129%26%23x2013%3B39.%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3DGNCWG5SK%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Recent%20Developments%20in%20Clinical%20Terminologies%20-%20SNOMED%20CT%2C%20LOINC%2C%20and%20RxNorm%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Oliver%22%2C%22lastName%22%3A%22Bodenreider%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ronald%22%2C%22lastName%22%3A%22Cornet%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J.%22%2C%22lastName%22%3A%22Vreeman%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVE%3A%20To%20discuss%20recent%20developments%20in%20clinical%20terminologies.%20SNOMED%20CT%20%28Systematized%20Nomenclature%20of%20Medicine%20Clinical%20Terms%29%20is%20the%20world%27s%20largest%20clinical%20terminology%2C%20developed%20by%20an%20international%20consortium.%20LOINC%20%28Logical%20Observation%20Identifiers%2C%20Names%2C%20and%20Codes%29%20is%20an%20international%20terminology%20widely%20used%20for%20clinical%20and%20laboratory%20observations.%20RxNorm%20is%20the%20standard%20drug%20terminology%20in%20the%20U.S.%5CnMETHODS%20AND%20RESULTS%3A%20We%20present%20a%20brief%20review%20of%20the%20history%2C%20current%20state%2C%20and%20future%20development%20of%20SNOMED%20CT%2C%20LOINC%20and%20RxNorm.%20We%20also%20analyze%20their%20similarities%20and%20differences%2C%20and%20outline%20areas%20for%20greater%20interoperability%20among%20them.%5CnCONCLUSIONS%3A%20With%20different%20starting%20points%2C%20representation%20formalisms%2C%20funding%20sources%2C%20and%20evolutionary%20paths%2C%20SNOMED%20CT%2C%20LOINC%2C%20and%20RxNorm%20have%20evolved%20over%20the%20past%20few%20decades%20into%20three%20major%20clinical%20terminologies%20supporting%20key%20use%20cases%20in%20clinical%20practice.%20Despite%20their%20differences%2C%20partnerships%20have%20been%20created%20among%20their%20development%20teams%20to%20facilitate%20interoperability%20and%20minimize%20duplication%20of%20effort.%22%2C%22date%22%3A%22Aug%202018%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1055%5C%2Fs-0038-1667077%22%2C%22ISSN%22%3A%222364-0502%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22C4NHMHDT%22%2C%22W78PTPSC%22%5D%2C%22dateModified%22%3A%222019-07-10T19%3A06%3A31Z%22%7D%7D%2C%7B%22key%22%3A%22SRJW5WVU%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vreeman%20et%20al.%22%2C%22parsedDate%22%3A%222018-05-29%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EVreeman%20DJ%2C%20Abhyankar%20S%2C%20Wang%20KC%2C%20Carr%20C%2C%20Collins%20B%2C%20Rubin%20DL%2C%20et%20al.%20The%20LOINC%20RSNA%20radiology%20playbook%20-%20a%20unified%20terminology%20for%20radiology%20procedures.%20J%20Am%20Med%20Inform%20Assoc.%202018%20May%2029%3B%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3D8LQ9M7B3%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22The%20LOINC%20RSNA%20radiology%20playbook%20-%20a%20unified%20terminology%20for%20radiology%20procedures%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J.%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Swapna%22%2C%22lastName%22%3A%22Abhyankar%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kenneth%20C.%22%2C%22lastName%22%3A%22Wang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%22%2C%22lastName%22%3A%22Carr%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Beverly%22%2C%22lastName%22%3A%22Collins%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20L.%22%2C%22lastName%22%3A%22Rubin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Curtis%20P.%22%2C%22lastName%22%3A%22Langlotz%22%7D%5D%2C%22abstractNote%22%3A%22Objective%3A%20This%20paper%20describes%20the%20unified%20LOINC%5C%2FRSNA%20Radiology%20Playbook%20and%20the%20process%20by%20which%20it%20was%20produced.%5CnMethods%3A%20The%20Regenstrief%20Institute%20and%20the%20Radiological%20Society%20of%20North%20America%20%28RSNA%29%20developed%20a%20unification%20plan%20consisting%20of%20six%20objectives%201%29%20develop%20a%20unified%20model%20for%20radiology%20procedure%20names%20that%20represents%20the%20attributes%20with%20an%20extensible%20set%20of%20values%2C%202%29%20transform%20existing%20LOINC%20procedure%20codes%20into%20the%20unified%20model%20representation%2C%203%29%20create%20a%20mapping%20between%20all%20the%20attribute%20values%20used%20in%20the%20unified%20model%20as%20coded%20in%20LOINC%20%28ie%2C%20LOINC%20Parts%29%20and%20their%20equivalent%20concepts%20in%20RadLex%2C%204%29%20create%20a%20mapping%20between%20the%20existing%20procedure%20codes%20in%20the%20RadLex%20Core%20Playbook%20and%20the%20corresponding%20codes%20in%20LOINC%2C%205%29%20develop%20a%20single%20integrated%20governance%20process%20for%20managing%20the%20unified%20terminology%2C%20and%206%29%20publicly%20distribute%20the%20terminology%20artifacts.%5CnResults%3A%20We%20developed%20a%20unified%20model%20and%20instantiated%20it%20in%20a%20new%20LOINC%20release%20artifact%20that%20contains%20the%20LOINC%20codes%20and%20display%20name%20%28ie%20LONG_COMMON_NAME%29%20for%20each%20procedure%2C%20mappings%20between%20LOINC%20and%20the%20RSNA%20Playbook%20at%20the%20procedure%20code%20level%2C%20and%20connections%20between%20procedure%20terms%20and%20their%20attribute%20values%20that%20are%20expressed%20as%20LOINC%20Parts%20and%20RadLex%20IDs.%20We%20transformed%20all%20the%20existing%20LOINC%20content%20into%20the%20new%20model%20and%20publicly%20distributed%20it%20in%20standard%20releases.%20The%20organizations%20have%20also%20developed%20a%20joint%20governance%20process%20for%20ongoing%20maintenance%20of%20the%20terminology.%5CnConclusions%3A%20The%20LOINC%5C%2FRSNA%20Radiology%20Playbook%20provides%20a%20universal%20terminology%20standard%20for%20radiology%20orders%20and%20results.%22%2C%22date%22%3A%22May%2029%2C%202018%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1093%5C%2Fjamia%5C%2Focy053%22%2C%22ISSN%22%3A%221527-974X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22M34VL9YZ%22%2C%22KI3D6JC5%22%5D%2C%22dateModified%22%3A%222019-07-10T19%3A06%3A24Z%22%7D%7D%2C%7B%22key%22%3A%22H23GG4H3%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Beitia%20et%20al.%22%2C%22parsedDate%22%3A%222017-12-14%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EBeitia%20AO%2C%20Lowry%20T%2C%20Vreeman%20DJ%2C%20Loo%20GT%2C%20Delman%20BN%2C%20Thum%20FL%2C%20et%20al.%20Standard%20Anatomic%20Terminologies%3A%20Comparison%20for%20Use%20in%20a%20Health%20Information%20Exchange-Based%20Prior%20Computed%20Tomography%20%28CT%29%20Alerting%20System.%20JMIR%20Med%20Inform.%202017%20Dec%2014%3B5%284%29%3Ae49.%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3DIEGHFD45%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Standard%20Anatomic%20Terminologies%3A%20Comparison%20for%20Use%20in%20a%20Health%20Information%20Exchange-Based%20Prior%20Computed%20Tomography%20%28CT%29%20Alerting%20System%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anton%20Oscar%22%2C%22lastName%22%3A%22Beitia%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tina%22%2C%22lastName%22%3A%22Lowry%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J.%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22George%20T.%22%2C%22lastName%22%3A%22Loo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bradley%20N.%22%2C%22lastName%22%3A%22Delman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Frederick%20L.%22%2C%22lastName%22%3A%22Thum%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benjamin%20H.%22%2C%22lastName%22%3A%22Slovis%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jason%20S.%22%2C%22lastName%22%3A%22Shapiro%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20A%20health%20information%20exchange%20%28HIE%29-based%20prior%20computed%20tomography%20%28CT%29%20alerting%20system%20may%20reduce%20avoidable%20CT%20imaging%20by%20notifying%20ordering%20clinicians%20of%20prior%20relevant%20studies%20when%20a%20study%20is%20ordered.%20For%20maximal%20effectiveness%2C%20a%20system%20would%20alert%20not%20only%20for%20prior%20same%20CTs%20%28exams%20mapped%20to%20the%20same%20code%20from%20an%20exam%20name%20terminology%29%20but%20also%20for%20similar%20CTs%20%28exams%20mapped%20to%20different%20exam%20name%20terminology%20codes%20but%20in%20the%20same%20anatomic%20region%29%20and%20anatomically%20proximate%20CTs%20%28exams%20in%20adjacent%20anatomic%20regions%29.%20Notification%20of%20previous%20same%20studies%20across%20an%20HIE%20requires%20mapping%20of%20local%20site%20CT%20codes%20to%20a%20standard%20terminology%20for%20exam%20names%20%28such%20as%20Logical%20Observation%20Identifiers%20Names%20and%20Codes%20%5BLOINC%5D%29%20to%20show%20that%20two%20studies%20with%20different%20local%20codes%20and%20descriptions%20are%20equivalent.%20Notifying%20of%20prior%20similar%20or%20proximate%20CTs%20requires%20an%20additional%20mapping%20of%20exam%20codes%20to%20anatomic%20regions%2C%20ideally%20coded%20by%20an%20anatomic%20terminology.%20Several%20anatomic%20terminologies%20exist%2C%20but%20no%20prior%20studies%20have%20evaluated%20how%20well%20they%20would%20support%20an%20alerting%20use%20case.%5CnOBJECTIVE%3A%20The%20aim%20of%20this%20study%20was%20to%20evaluate%20the%20fitness%20of%20five%20existing%20standard%20anatomic%20terminologies%20to%20support%20similar%20or%20proximate%20alerts%20of%20an%20HIE-based%20prior%20CT%20alerting%20system.%5CnMETHODS%3A%20We%20compared%20five%20standard%20anatomic%20terminologies%20%28Foundational%20Model%20of%20Anatomy%2C%20Systematized%20Nomenclature%20of%20Medicine%20Clinical%20Terms%2C%20RadLex%2C%20LOINC%2C%20and%20LOINC%5C%2FRadiological%20Society%20of%20North%20America%20%5BRSNA%5D%20Radiology%20Playbook%29%20to%20an%20anatomic%20framework%20created%20specifically%20for%20our%20use%20case%20%28Simple%20ANatomic%20Ontology%20for%20Proximity%20or%20Similarity%20%5BSANOPS%5D%29%2C%20to%20determine%20whether%20the%20existing%20terminologies%20could%20support%20our%20use%20case%20without%20modification.%20On%20the%20basis%20of%20an%20assessment%20of%20optimal%20terminology%20features%20for%20our%20purpose%2C%20we%20developed%20an%20ordinal%20anatomic%20terminology%20utility%20classification.%20We%20mapped%20samples%20of%20100%20random%20and%20the%20100%20most%20frequent%20LOINC%20CT%20codes%20to%20anatomic%20regions%20in%20each%20terminology%2C%20assigned%20utility%20classes%20for%20each%20mapping%2C%20and%20statistically%20compared%20each%20terminology%27s%20utility%20class%20rankings.%20We%20also%20constructed%20seven%20hypothetical%20alerting%20scenarios%20to%20illustrate%20the%20terminologies%27%20differences.%5CnRESULTS%3A%20Both%20RadLex%20and%20the%20LOINC%5C%2FRSNA%20Radiology%20Playbook%20anatomic%20terminologies%20ranked%20significantly%20better%20%28P%3C.001%29%20than%20the%20other%20standard%20terminologies%20for%20the%20100%20most%20frequent%20CTs%2C%20but%20no%20terminology%20ranked%20significantly%20better%20than%20any%20other%20for%20100%20random%20CTs.%20Hypothetical%20scenarios%20illustrated%20instances%20where%20no%20standard%20terminology%20would%20support%20appropriate%20proximate%20or%20similar%20alerts%2C%20without%20modification.%5CnCONCLUSIONS%3A%20LOINC%5C%2FRSNA%20Radiology%20Playbook%20and%20RadLex%27s%20anatomic%20terminologies%20appear%20well%20suited%20to%20support%20proximate%20or%20similar%20alerts%20for%20commonly%20ordered%20CTs%2C%20but%20for%20less%20commonly%20ordered%20tests%2C%20modification%20of%20the%20existing%20terminologies%20with%20concepts%20and%20relations%20from%20SANOPS%20would%20likely%20be%20required.%20Our%20findings%20suggest%20SANOPS%20may%20serve%20as%20a%20framework%20for%20enhancing%20anatomic%20terminologies%20in%20support%20of%20other%20similar%20use%20cases.%22%2C%22date%22%3A%22Dec%2014%2C%202017%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.2196%5C%2Fmedinform.8765%22%2C%22ISSN%22%3A%222291-9694%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22UHEGRX8T%22%2C%22M34VL9YZ%22%5D%2C%22dateModified%22%3A%222019-07-10T19%3A05%3A11Z%22%7D%7D%2C%7B%22key%22%3A%22BDXIZNWR%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Campbell%20et%20al.%22%2C%22parsedDate%22%3A%222017-09-13%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3ECampbell%20WS%2C%20Karlsson%20D%2C%20Vreeman%20DJ%2C%20Lazenby%20AJ%2C%20Talmon%20GA%2C%20Campbell%20JR.%20A%20computable%20pathology%20report%20for%20precision%20medicine%3A%20extending%20an%20observables%20ontology%20unifying%20SNOMED%20CT%20and%20LOINC.%20J%20Am%20Med%20Inform%20Assoc.%202017%20Sep%2013%3B%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3DLD5776DT%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20computable%20pathology%20report%20for%20precision%20medicine%3A%20extending%20an%20observables%20ontology%20unifying%20SNOMED%20CT%20and%20LOINC%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Walter%20S.%22%2C%22lastName%22%3A%22Campbell%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22Karlsson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J.%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Audrey%20J.%22%2C%22lastName%22%3A%22Lazenby%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Geoffrey%20A.%22%2C%22lastName%22%3A%22Talmon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22James%20R.%22%2C%22lastName%22%3A%22Campbell%22%7D%5D%2C%22abstractNote%22%3A%22Background%3A%20The%20College%20of%20American%20Pathologists%20%28CAP%29%20introduced%20the%20first%20cancer%20synoptic%20reporting%20protocols%20in%201998.%20However%2C%20the%20objective%20of%20a%20fully%20computable%20and%20machine-readable%20cancer%20synoptic%20report%20remains%20elusive%20due%20to%20insufficient%20definitional%20content%20in%20Systematized%20Nomenclature%20of%20Medicine%20-%20Clinical%20Terms%20%28SNOMED%20CT%29%20and%20Logical%20Observation%20Identifiers%20Names%20and%20Codes%20%28LOINC%29.%20To%20address%20this%20terminology%20gap%2C%20investigators%20at%20the%20University%20of%20Nebraska%20Medical%20Center%20%28UNMC%29%20are%20developing%2C%20authoring%2C%20and%20testing%20a%20SNOMED%20CT%20observable%20ontology%20to%20represent%20the%20data%20elements%20identified%20by%20the%20synoptic%20worksheets%20of%20CAP.%5CnMethods%3A%20Investigators%20along%20with%20collaborators%20from%20the%20US%20National%20Library%20of%20Medicine%2C%20CAP%2C%20the%20International%20Health%20Terminology%20Standards%20Development%20Organization%2C%20and%20the%20UK%20Health%20and%20Social%20Care%20Information%20Centre%20analyzed%20and%20assessed%20required%20data%20elements%20for%20colorectal%20cancer%20and%20invasive%20breast%20cancer%20synoptic%20reporting.%20SNOMED%20CT%20concept%20expressions%20were%20developed%20at%20UNMC%20in%20the%20Nebraska%20Lexicon%5Cu00a9%20SNOMED%20CT%20namespace.%20LOINC%20codes%20for%20each%20SNOMED%20CT%20expression%20were%20issued%20by%20the%20Regenstrief%20Institute.%20SNOMED%20CT%20concepts%20represented%20observation%20answer%20value%20sets.%5CnResults%3A%20UNMC%20investigators%20created%20a%20total%20of%20194%20SNOMED%20CT%20observable%20entity%20concept%20definitions%20to%20represent%20required%20data%20elements%20for%20CAP%20colorectal%20and%20breast%20cancer%20synoptic%20worksheets%2C%20including%20biomarkers.%20Concepts%20were%20bound%20to%20colorectal%20and%20invasive%20breast%20cancer%20reports%20in%20the%20UNMC%20pathology%20system%20and%20successfully%20used%20to%20populate%20a%20UNMC%20biobank.%5CnDiscussion%3A%20The%20absence%20of%20a%20robust%20observables%20ontology%20represents%20a%20barrier%20to%20data%20capture%20and%20reuse%20in%20clinical%20areas%20founded%20upon%20observational%20information.%20Terminology%20developed%20in%20this%20project%20establishes%20the%20model%20to%20characterize%20pathology%20data%20for%20information%20exchange%2C%20public%20health%2C%20and%20research%20analytics.%22%2C%22date%22%3A%22Sep%2013%2C%202017%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1093%5C%2Fjamia%5C%2Focx097%22%2C%22ISSN%22%3A%221527-974X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%5D%2C%22dateModified%22%3A%222017-10-13T10%3A21%3A02Z%22%7D%7D%2C%7B%22key%22%3A%228P49VNE9%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Wang%20et%20al.%22%2C%22parsedDate%22%3A%222017-08%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EWang%20KC%2C%20Patel%20JB%2C%20Vyas%20B%2C%20Toland%20M%2C%20Collins%20B%2C%20Vreeman%20DJ%2C%20et%20al.%20Use%20of%20Radiology%20Procedure%20Codes%20in%20Health%20Care%3A%20The%20Need%20for%20Standardization%20and%20Structure.%20Radiographics.%202017%20Aug%3B37%284%29%3A1099%26%23x2013%3B110.%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3DT8QBBL2B%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Use%20of%20Radiology%20Procedure%20Codes%20in%20Health%20Care%3A%20The%20Need%20for%20Standardization%20and%20Structure%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kenneth%20C.%22%2C%22lastName%22%3A%22Wang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jigar%20B.%22%2C%22lastName%22%3A%22Patel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bimal%22%2C%22lastName%22%3A%22Vyas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%22%2C%22lastName%22%3A%22Toland%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Beverly%22%2C%22lastName%22%3A%22Collins%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J.%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Swapna%22%2C%22lastName%22%3A%22Abhyankar%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Eliot%20L.%22%2C%22lastName%22%3A%22Siegel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20L.%22%2C%22lastName%22%3A%22Rubin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Curtis%20P.%22%2C%22lastName%22%3A%22Langlotz%22%7D%5D%2C%22abstractNote%22%3A%22Radiology%20procedure%20codes%20are%20a%20fundamental%20part%20of%20most%20radiology%20workflows%2C%20such%20as%20ordering%2C%20scheduling%2C%20billing%2C%20and%20image%20interpretation.%20Nonstandardized%20unstructured%20procedure%20codes%20have%20typically%20been%20used%20in%20radiology%20departments.%20Such%20codes%20may%20be%20sufficient%20for%20specific%20purposes%2C%20but%20they%20offer%20limited%20support%20for%20interoperability.%20As%20radiology%20workflows%20and%20the%20various%20forms%20of%20clinical%20data%20exchange%20have%20become%20more%20sophisticated%2C%20the%20need%20for%20more%20advanced%20interoperability%20with%20use%20of%20standardized%20structured%20codes%20has%20increased.%20For%20example%2C%20structured%20codes%20facilitate%20the%20automated%20identification%20of%20relevant%20prior%20imaging%20studies%20and%20the%20collection%20of%20data%20for%20radiation%20dose%20tracking.%20The%20authors%20review%20the%20role%20of%20imaging%20procedure%20codes%20in%20radiology%20departments%20and%20across%20the%20health%20care%20enterprise.%20Standards%20for%20radiology%20procedure%20coding%20are%20described%2C%20and%20the%20mechanisms%20of%20structured%20coding%20systems%20are%20reviewed.%20In%20particular%2C%20the%20structure%20of%20the%20RadLex%5Cu2122%20Playbook%20coding%20system%20and%20examples%20of%20the%20use%20of%20this%20system%20are%20described.%20Harmonization%20of%20the%20RadLex%20Playbook%20system%20with%20the%20Logical%20Observation%20Identifiers%20Names%20and%20Codes%20standard%2C%20which%20is%20currently%20in%20progress%2C%20also%20is%20described.%20The%20benefits%20and%20challenges%20of%20adopting%20standardized%20codes-especially%20the%20difficulties%20in%20mapping%20local%20codes%20to%20standardized%20codes-are%20reviewed.%20Tools%20and%20strategies%20for%20mitigating%20these%20challenges%2C%20including%20the%20use%20of%20billing%20codes%20as%20an%20intermediate%20step%20in%20mapping%2C%20also%20are%20reviewed.%20In%20addition%2C%20the%20authors%20describe%20how%20to%20use%20the%20RadLex%20Playbook%20Web%20service%20application%20programming%20interface%20for%20partial%20automation%20of%20code%20mapping.%20%28%5Cu00a9%29%20RSNA%2C%202017.%22%2C%22date%22%3A%222017%20Jul-Aug%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1148%5C%2Frg.2017160188%22%2C%22ISSN%22%3A%221527-1323%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22UHEGRX8T%22%2C%22M34VL9YZ%22%5D%2C%22dateModified%22%3A%222018-07-04T01%3A33%3A50Z%22%7D%7D%2C%7B%22key%22%3A%225KC77UNE%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vreeman%20et%20al.%22%2C%22parsedDate%22%3A%222015-11%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EVreeman%20DJ%2C%20Hook%20J%2C%20Dixon%20BE.%20Learning%20from%20the%20crowd%20while%20mapping%20to%20LOINC.%20J%20Am%20Med%20Inform%20Assoc.%202015%20Nov%3B22%286%29%3A1205%26%23x2013%3B11.%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3DGF8ZC5SW%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Learning%20from%20the%20crowd%20while%20mapping%20to%20LOINC%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J.%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22John%22%2C%22lastName%22%3A%22Hook%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Brian%20E.%22%2C%22lastName%22%3A%22Dixon%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVE%3A%20To%20describe%20the%20perspectives%20of%20Regenstrief%20LOINC%20Mapping%20Assistant%20%28RELMA%29%20users%20before%20and%20after%20the%20deployment%20of%20Community%20Mapping%20features%2C%20characterize%20the%20usage%20of%20these%20new%20features%2C%20and%20analyze%20the%20quality%20of%20mappings%20submitted%20to%20the%20community%20mapping%20repository.%5CnMETHODS%3A%20We%20evaluated%20Logical%20Observation%20Identifiers%20Names%20and%20Codes%20%28LOINC%29%20community%20members%27%20perceptions%20about%20new%20%5C%22wisdom%20of%20the%20crowd%5C%22%20information%20and%20how%20they%20used%20the%20new%20RELMA%20features.%20We%20conducted%20a%20pre-launch%20survey%20to%20capture%20users%27%20perceptions%20of%20the%20proposed%20functionality%20of%20these%20new%20features%3B%20monitored%20how%20the%20new%20features%20and%20data%20available%20via%20those%20features%20were%20accessed%3B%20conducted%20a%20follow-up%20survey%20about%20the%20use%20of%20RELMA%20with%20the%20Community%20Mapping%20features%3B%20and%20analyzed%20community%20mappings%20using%20automated%20methods%20to%20detect%20potential%20errors.%5CnRESULTS%3A%20Despite%20general%20satisfaction%20with%20RELMA%2C%20nearly%2080%25%20of%20155%20respondents%20to%20our%20pre-launch%20survey%20indicated%20that%20having%20information%20on%20how%20often%20other%20users%20had%20mapped%20to%20a%20particular%20LOINC%20term%20would%20be%20helpful.%20During%20the%20study%20period%2C%20200%20participants%20logged%20into%20the%20RELMA%20Community%20Mapping%20features%20an%20average%20of%20610%20times%20per%20month%20and%20viewed%20the%20mapping%20detail%20pages%20a%20total%20of%206686%20times.%20Fifty%20respondents%20%2825%25%29%20completed%20our%20post-launch%20survey%2C%20and%20those%20who%20accessed%20the%20Community%20Mapping%20features%20unanimously%20indicated%20that%20they%20were%20useful.%20Overall%2C%2095.3%25%20of%20the%20submitted%20mappings%20passed%20our%20automated%20validation%20checks.%5CnCONCLUSION%3A%20When%20information%20about%20other%20institutions%27%20mappings%20was%20made%20available%2C%20study%20participants%20who%20accessed%20it%20agreed%20that%20it%20was%20useful%20and%20informed%20their%20mapping%20choices.%20Our%20findings%20suggest%20that%20a%20crowd-sourced%20repository%20of%20mappings%20is%20valuable%20to%20users%20who%20are%20mapping%20local%20terms%20to%20LOINC%20terms.%22%2C%22date%22%3A%22Nov%202015%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1093%5C%2Fjamia%5C%2Focv098%22%2C%22ISSN%22%3A%221527-974X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22V5JAQQQG%22%2C%22M34VL9YZ%22%2C%227BBL6ALD%22%5D%2C%22dateModified%22%3A%222019-07-10T19%3A03%3A54Z%22%7D%7D%2C%7B%22key%22%3A%22WPP76RHN%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Deckard%20et%20al.%22%2C%22parsedDate%22%3A%222015-02-05%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EDeckard%20J%2C%20McDonald%20CJ%2C%20Vreeman%20DJ.%20Supporting%20interoperability%20of%20genetic%20data%20with%20LOINC.%20J%20Am%20Med%20Inform%20Assoc.%202015%20Feb%205%3B%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3D6MZ2KUZK%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Supporting%20interoperability%20of%20genetic%20data%20with%20LOINC%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jamalynne%22%2C%22lastName%22%3A%22Deckard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clement%20J.%22%2C%22lastName%22%3A%22McDonald%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J.%22%2C%22lastName%22%3A%22Vreeman%22%7D%5D%2C%22abstractNote%22%3A%22Electronic%20reporting%20of%20genetic%20testing%20results%20is%20increasing%2C%20but%20they%20are%20often%20represented%20in%20diverse%20formats%20and%20naming%20conventions.%20Logical%20Observation%20Identifiers%20Names%20and%20Codes%20%28LOINC%29%20is%20a%20vocabulary%20standard%20that%20provides%20universal%20identifiers%20for%20laboratory%20tests%20and%20clinical%20observations.%20In%20genetics%2C%20LOINC%20provides%20codes%20to%20improve%20interoperability%20in%20the%20midst%20of%20reporting%20style%20transition%2C%20including%20codes%20for%20cytogenetic%20or%20mutation%20analysis%20tests%2C%20specific%20chromosomal%20alteration%20or%20mutation%20testing%2C%20and%20fully%20structured%20discrete%20genetic%20test%20reporting.%20LOINC%20terms%20follow%20the%20recommendations%20and%20nomenclature%20of%20other%20standards%20such%20as%20the%20Human%20Genome%20Organization%20Gene%20Nomenclature%20Committee%27s%20terminology%20for%20gene%20names.%20In%20addition%20to%20the%20narrative%20text%20they%20report%20now%2C%20we%20recommend%20that%20laboratories%20always%20report%20as%20discrete%20variables%20chromosome%20analysis%20results%2C%20genetic%20variation%28s%29%20found%2C%20and%20genetic%20variation%28s%29%20tested%20for.%20By%20adopting%20and%20implementing%20data%20standards%20like%20LOINC%2C%20information%20systems%20can%20help%20care%20providers%20and%20researchers%20unlock%20the%20potential%20of%20genetic%20information%20for%20delivering%20more%20personalized%20care.%22%2C%22date%22%3A%22Feb%205%2C%202015%22%2C%22language%22%3A%22ENG%22%2C%22DOI%22%3A%2210.1093%5C%2Fjamia%5C%2Focu012%22%2C%22ISSN%22%3A%221527-974X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22G47DL5VZ%22%2C%22KI3D6JC5%22%5D%2C%22dateModified%22%3A%222019-07-10T18%3A58%3A12Z%22%7D%7D%2C%7B%22key%22%3A%22KSCDPZTG%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Dixon%20et%20al.%22%2C%22parsedDate%22%3A%222015%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EDixon%20BE%2C%20Hook%20J%2C%20Vreeman%20DJ.%20Learning%20From%20the%20Crowd%20in%20Terminology%20Mapping%3A%20The%20LOINC%20Experience.%20Lab%20Med.%202015%3B46%282%29%3A168%26%23x2013%3B74.%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3DULJACILE%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Learning%20From%20the%20Crowd%20in%20Terminology%20Mapping%3A%20The%20LOINC%20Experience%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Brian%20E.%22%2C%22lastName%22%3A%22Dixon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22John%22%2C%22lastName%22%3A%22Hook%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J.%22%2C%22lastName%22%3A%22Vreeman%22%7D%5D%2C%22abstractNote%22%3A%22National%20policies%20in%20the%20United%20States%20require%20the%20use%20of%20standard%20terminology%20for%20data%20exchange%20between%20clinical%20information%20systems.%20However%2C%20most%20electronic%20health%20record%20systems%20continue%20to%20use%20local%20and%20idiosyncratic%20ways%20of%20representing%20clinical%20observations.%20To%20improve%20mappings%20between%20local%20terms%20and%20standard%20vocabularies%2C%20we%20sought%20to%20make%20existing%20mappings%20%28wisdom%29%20from%20healt%20care%20organizations%20%28the%20Crowd%29%20available%20to%20individuals%20engaged%20in%20mapping%20processes.%20We%20developed%20new%20functionality%20to%20display%20counts%20of%20local%20terms%20and%20organizations%20that%20had%20previously%20mapped%20to%20a%20given%20Logical%20Observation%20Identifiers%20Names%20and%20Codes%20%28LOINC%29%20code.%20Further%2C%20we%20enabled%20users%20to%20view%20the%20details%20of%20those%20mappings%2C%20including%20local%20term%20names%20and%20the%20organizations%20that%20create%20the%20mappings.%20Users%20also%20would%20have%20the%20capacity%20to%20contribute%20their%20local%20mappings%20to%20a%20shared%20mapping%20repository.%20In%20this%20article%2C%20we%20describe%20the%20new%20functionality%20and%20its%20availability%20to%20implementers%20who%20desire%20resources%20to%20make%20mapping%20more%20efficient%20and%20effective.%22%2C%22date%22%3A%222015%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1309%5C%2FLMWJ730SVKTUBAOJ%22%2C%22ISSN%22%3A%221943-7730%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22M34VL9YZ%22%5D%2C%22dateModified%22%3A%222018-07-04T01%3A34%3A54Z%22%7D%7D%2C%7B%22key%22%3A%224SERJQSX%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Dixon%20et%20al.%22%2C%22parsedDate%22%3A%222014-03-25%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EDixon%20BE%2C%20Vreeman%20DJ%2C%20Grannis%20SJ.%20The%20Long%20Road%20to%20Semantic%20Interoperability%20in%20Support%20of%20Public%20Health%3A%20Experiences%20from%20Two%20States.%20J%20Biomed%20Inform.%202014%20Mar%2025%3B%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3DQJFVK69Q%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22The%20Long%20Road%20to%20Semantic%20Interoperability%20in%20Support%20of%20Public%20Health%3A%20Experiences%20from%20Two%20States%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Brian%20E%22%2C%22lastName%22%3A%22Dixon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shaun%20J%22%2C%22lastName%22%3A%22Grannis%22%7D%5D%2C%22abstractNote%22%3A%22Proliferation%20of%20health%20information%20technologies%20creates%20opportunities%20to%20improve%20clinical%20and%20public%20health%2C%20including%20high%20quality%2C%20safer%20care%20and%20lower%20costs.%20To%20maximize%20such%20potential%20benefits%2C%20health%20information%20technologies%20must%20readily%20and%20reliably%20exchange%20information%20with%20other%20systems.%20However%2C%20evidence%20from%20public%20health%20surveillance%20programs%20in%20two%20states%20suggests%20that%20operational%20clinical%20information%20systems%20often%20fail%20to%20use%20available%20standards%2C%20a%20barrier%20to%20semantic%20interoperability.%20Furthermore%2C%20analysis%20of%20existing%20policies%20incentivizing%20semantic%20interoperability%20suggests%20they%20have%20limited%20impact%20and%20are%20fragmented.%20In%20this%20essay%2C%20we%20discuss%20three%20approaches%20for%20increasing%20semantic%20interoperability%20to%20support%20national%20goals%20for%20using%20health%20information%20technologies.%20A%20clear%2C%20comprehensive%20strategy%20requiring%20collaborative%20efforts%20by%20clinical%20and%20public%20health%20stakeholders%20is%20suggested%20as%20a%20guide%20for%20the%20long%20road%20towards%20better%20population%20health%20data%20and%20outcomes.%22%2C%22date%22%3A%22Mar%2025%2C%202014%22%2C%22language%22%3A%22ENG%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.jbi.2014.03.011%22%2C%22ISSN%22%3A%221532-0480%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22V5JAQQQG%22%5D%2C%22dateModified%22%3A%222019-07-10T18%3A50%3A35Z%22%7D%7D%2C%7B%22key%22%3A%22754N6WH6%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vreeman%20and%20Richoz%22%2C%22parsedDate%22%3A%222013-07-30%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EVreeman%20DJ%2C%20Richoz%20C.%20Possibilities%20and%20Implications%20of%20Using%20the%20ICF%20and%20Other%20Vocabulary%20Standards%20in%20Electronic%20Health%20Records.%20Physiother%20Res%20Int.%202013%20Jul%2030%3B%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Possibilities%20and%20Implications%20of%20Using%20the%20ICF%20and%20Other%20Vocabulary%20Standards%20in%20Electronic%20Health%20Records%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christophe%22%2C%22lastName%22%3A%22Richoz%22%7D%5D%2C%22abstractNote%22%3A%22There%20is%20now%20widespread%20recognition%20of%20the%20powerful%20potential%20of%20electronic%20health%20record%20%28EHR%29%20systems%20to%20improve%20the%20health-care%20delivery%20system.%20The%20benefits%20of%20EHRs%20grow%20even%20larger%20when%20the%20health%20data%20within%20their%20purview%20are%20seamlessly%20shared%2C%20aggregated%20and%20processed%20across%20different%20providers%2C%20settings%20and%20institutions.%20Yet%2C%20the%20plethora%20of%20idiosyncratic%20conventions%20for%20identifying%20the%20same%20clinical%20content%20in%20different%20information%20systems%20is%20a%20fundamental%20barrier%20to%20fully%20leveraging%20the%20potential%20of%20EHRs.%20Only%20by%20adopting%20vocabulary%20standards%20that%20provide%20the%20lingua%20franca%20across%20these%20local%20dialects%20can%20computers%20efficiently%20move%2C%20aggregate%20and%20use%20health%20data%20for%20decision%20support%2C%20outcomes%20management%2C%20quality%20reporting%2C%20research%20and%20many%20other%20purposes.%20In%20this%20regard%2C%20the%20International%20Classification%20of%20Functioning%2C%20Disability%2C%20and%20Health%20%28ICF%29%20is%20an%20important%20standard%20for%20physiotherapists%20because%20it%20provides%20a%20framework%20and%20standard%20language%20for%20describing%20health%20and%20health-related%20states.%20However%2C%20physiotherapists%20and%20other%20health-care%20professionals%20capture%20a%20wide%20range%20of%20data%20such%20as%20patient%20histories%2C%20clinical%20findings%2C%20tests%20and%20measurements%2C%20procedures%2C%20and%20so%20on%2C%20for%20which%20other%20vocabulary%20standards%20such%20as%20Logical%20Observation%20Identifiers%20Names%20and%20Codes%20and%20Systematized%20Nomenclature%20Of%20Medicine%20Clinical%20Terms%20are%20crucial%20for%20interoperable%20communication%20between%20different%20electronic%20systems.%20In%20this%20paper%2C%20we%20describe%20how%20the%20ICF%20and%20other%20internationally%20accepted%20vocabulary%20standards%20could%20advance%20physiotherapy%20practise%20and%20research%20by%20enabling%20data%20sharing%20and%20reuse%20by%20EHRs.%20We%20highlight%20how%20these%20different%20vocabulary%20standards%20fit%20together%20within%20a%20comprehensive%20record%20system%2C%20and%20how%20EHRs%20can%20make%20use%20of%20them%2C%20with%20a%20particular%20focus%20on%20enhancing%20decision-making.%20By%20incorporating%20the%20ICF%20and%20other%20internationally%20accepted%20vocabulary%20standards%20into%20our%20clinical%20information%20systems%2C%20physiotherapists%20will%20be%20able%20to%20leverage%20the%20potent%20capabilities%20of%20EHRs%20and%20contribute%20our%20unique%20clinical%20perspective%20to%20other%20health-care%20providers%20within%20the%20emerging%20electronic%20health%20information%20infrastructure.%20Copyright%20%5Cu00a9%202013%20John%20Wiley%20%26%20Sons%2C%20Ltd.%22%2C%22date%22%3A%22Jul%2030%2C%202013%22%2C%22language%22%3A%22ENG%22%2C%22DOI%22%3A%2210.1002%5C%2Fpri.1559%22%2C%22ISSN%22%3A%221471-2865%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22DZJMHBIT%22%5D%2C%22dateModified%22%3A%222019-07-10T18%3A46%3A44Z%22%7D%7D%2C%7B%22key%22%3A%22HK49SSJM%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Fidahussein%20and%20Vreeman%22%2C%22parsedDate%22%3A%222013-05-15%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EFidahussein%20M%2C%20Vreeman%20DJ.%20A%20corpus-based%20approach%20for%20automated%20LOINC%20mapping.%20J%20Am%20Med%20Inform%20Assoc.%202013%20May%2015%3B%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3D629PW3GT%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20corpus-based%20approach%20for%20automated%20LOINC%20mapping%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mustafa%22%2C%22lastName%22%3A%22Fidahussein%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVE%3A%20To%20determine%20whether%20the%20knowledge%20contained%20in%20a%20rich%20corpus%20of%20local%20terms%20mapped%20to%20LOINC%20%28Logical%20Observation%20Identifiers%20Names%20and%20Codes%29%20could%20be%20leveraged%20to%20help%20map%20local%20terms%20from%20other%20institutions.%20METHODS%3A%20We%20developed%20two%20models%20to%20test%20our%20hypothesis.%20The%20first%20based%20on%20supervised%20machine%20learning%20was%20created%20using%20Apache%27s%20OpenNLP%20Maxent%20and%20the%20second%20based%20on%20information%20retrieval%20was%20created%20using%20Apache%27s%20Lucene.%20The%20models%20were%20validated%20by%20a%20random%20subsampling%20method%20that%20was%20repeated%2020%20times%20and%20that%20used%2080%5C%2F20%20splits%20for%20training%20and%20testing%2C%20respectively.%20We%20also%20evaluated%20the%20performance%20of%20these%20models%20on%20all%20laboratory%20terms%20from%20three%20test%20institutions.%20RESULTS%3A%20For%20the%2020%20iterations%20used%20for%20validation%20of%20our%2080%5C%2F20%20splits%20Maxent%20and%20Lucene%20ranked%20the%20correct%20LOINC%20code%20first%20for%20between%2070.5%25%20and%2071.4%25%20and%20between%2063.7%25%20and%2065.0%25%20of%20local%20terms%2C%20respectively.%20For%20all%20laboratory%20terms%20from%20the%20three%20test%20institutions%20Maxent%20ranked%20the%20correct%20LOINC%20code%20first%20for%20between%2073.5%25%20and%2084.6%25%20%28mean%2078.9%25%29%20of%20local%20terms%2C%20whereas%20Lucene%27s%20performance%20was%20between%2066.5%25%20and%2076.6%25%20%28mean%2071.9%25%29.%20Using%20a%20cut-off%20score%20of%200.46%20Maxent%20always%20ranked%20the%20correct%20LOINC%20code%20first%20for%20over%2057%25%20of%20local%20terms.%20CONCLUSIONS%3A%20This%20study%20showed%20that%20a%20rich%20corpus%20of%20local%20terms%20mapped%20to%20LOINC%20contains%20collective%20knowledge%20that%20can%20help%20map%20terms%20from%20other%20institutions.%20Using%20freely%20available%20software%20tools%2C%20we%20developed%20a%20data-driven%20automated%20approach%20that%20operates%20on%20term%20descriptions%20from%20existing%20mappings%20in%20the%20corpus.%20Accurate%20and%20efficient%20automated%20mapping%20methods%20can%20help%20to%20accelerate%20adoption%20of%20vocabulary%20standards%20and%20promote%20widespread%20health%20information%20exchange.%22%2C%22date%22%3A%22May%2015%2C%202013%22%2C%22language%22%3A%22ENG%22%2C%22DOI%22%3A%2210.1136%5C%2Famiajnl-2012-001159%22%2C%22ISSN%22%3A%221527-974X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22ZR9Q79TD%22%2C%22V5JAQQQG%22%2C%22M34VL9YZ%22%2C%227BBL6ALD%22%5D%2C%22dateModified%22%3A%222019-07-10T18%3A47%3A35Z%22%7D%7D%2C%7B%22key%22%3A%22KINXJBCK%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Wu%20et%20al.%22%2C%22parsedDate%22%3A%222013%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EWu%20J%2C%20Finnell%20JT%2C%20Vreeman%20DJ.%20Evaluating%20Congruence%20Between%20Laboratory%20LOINC%20Value%20Sets%20for%20Quality%20Measures%2C%20Public%20Health%20Reporting%2C%20and%20Mapping%20Common%20Tests.%20AMIA%20Annu%20Symp%20Proc.%202013%3B2013%3A1525%26%23x2013%3B32.%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Evaluating%20Congruence%20Between%20Laboratory%20LOINC%20Value%20Sets%20for%20Quality%20Measures%2C%20Public%20Health%20Reporting%2C%20and%20Mapping%20Common%20Tests%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jianmin%22%2C%22lastName%22%3A%22Wu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22John%20T%22%2C%22lastName%22%3A%22Finnell%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%5D%2C%22abstractNote%22%3A%22Laboratory%20test%20results%20are%20important%20for%20secondary%20data%20uses%20like%20quality%20measures%20and%20public%20health%20reporting%2C%20but%20mapping%20local%20laboratory%20codes%20to%20LOINC%20is%20a%20challenge.%20We%20evaluated%20the%20congruence%20between%20laboratory%20LOINC%20value%20sets%20for%20quality%20measures%2C%20public%20health%20reporting%2C%20and%20mapping%20common%20tests.%20We%20found%20a%20modest%20proportion%20of%20the%20LOINC%20codes%20from%20the%20Value%20Set%20Authority%20Center%20%28VSAC%29%20were%20present%20in%20the%20LOINC%20Top%202000%20Results%20%2816%25%29%20and%20the%20Reportable%20Condition%20Mapping%20Table%20%2852%25%29%2C%20and%20only%2025%20terms%20%283%25%29%20were%20shared%20with%20the%20Notifiable%20Condition%20Detector%20Top%20129.%20More%20than%20a%20third%20of%20the%20VSAC%20Quality%20LOINCs%20were%20unique%20to%20that%20value%20set.%20A%20relatively%20small%20proportion%20of%20the%20VSAC%20Quality%20LOINCs%20were%20used%20by%20our%20hospital%20laboratories.%20Our%20results%20illustrate%20how%20mapping%20based%20only%20on%20test%20frequency%20might%20hinder%20these%20secondary%20uses%20of%20laboratory%20test%20results.%22%2C%22date%22%3A%222013%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%221942-597X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22V5JAQQQG%22%5D%2C%22dateModified%22%3A%222014-02-20T12%3A03%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22AIUTKG3U%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vreeman%20et%20al.%22%2C%22parsedDate%22%3A%222012-08%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EVreeman%20DJ%2C%20Chiaravalloti%20MT%2C%20Hook%20J%2C%20McDonald%20CJ.%20Enabling%20international%20adoption%20of%20LOINC%20through%20translation.%20J%20Biomed%20Inform%20%5BInternet%5D.%202012%20Aug%20%5Bcited%202012%20Aug%2019%5D%3B45%284%29%3A667%26%23x2013%3B73.%20Available%20from%3A%20%3Ca%20href%3D%27http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22285984%27%3Ehttp%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22285984%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Enabling%20international%20adoption%20of%20LOINC%20through%20translation%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maria%20Teresa%22%2C%22lastName%22%3A%22Chiaravalloti%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22John%22%2C%22lastName%22%3A%22Hook%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clement%20J%22%2C%22lastName%22%3A%22McDonald%22%7D%5D%2C%22abstractNote%22%3A%22Interoperable%20health%20information%20exchange%20depends%20on%20adoption%20of%20terminology%20standards%2C%20but%20international%20use%20of%20such%20standards%20can%20be%20challenging%20because%20of%20language%20differences%20between%20local%20concept%20names%20and%20the%20standard%20terminology.%20To%20address%20this%20important%20barrier%2C%20we%20describe%20the%20evolution%20of%20an%20efficient%20process%20for%20constructing%20translations%20of%20LOINC%20terms%20names%2C%20the%20foreign%20language%20functions%20in%20RELMA%2C%20and%20the%20current%20state%20of%20translations%20in%20LOINC.%20We%20also%20present%20the%20development%20of%20the%20Italian%20translation%20to%20illustrate%20how%20translation%20is%20enabling%20adoption%20in%20international%20contexts.%20We%20built%20a%20tool%20that%20finds%20the%20unique%20list%20of%20LOINC%20Parts%20that%20make%20up%20a%20given%20set%20of%20LOINC%20terms.%20This%20list%20enables%20translation%20of%20smaller%20pieces%20like%20the%20core%20component%20%5C%22hepatitis%20c%20virus%5C%22%20separately%20from%20all%20the%20suffixes%20that%20could%20appear%20with%20it%2C%20such%20%5C%22Ab.IgG%5C%22%2C%20%5C%22DNA%5C%22%2C%20and%20%5C%22RNA%5C%22.%20We%20built%20another%20tool%20that%20generates%20a%20translation%20of%20a%20full%20LOINC%20name%20from%20all%20of%20these%20atomic%20pieces.%20As%20of%20version%202.36%20%28June%202011%29%2C%20LOINC%20terms%20have%20been%20translated%20into%20nine%20languages%20from%2015%20linguistic%20variants%20other%20than%20its%20native%20English.%20The%20five%20largest%20linguistic%20variants%20have%20all%20used%20the%20Part-based%20translation%20mechanism.%20However%2C%20even%20with%20efficient%20tools%20and%20processes%2C%20translation%20of%20standard%20terminology%20is%20a%20complex%20undertaking.%20Two%20of%20the%20prominent%20linguistic%20challenges%20that%20translators%20have%20faced%20include%3A%20the%20approach%20to%20handling%20acronyms%20and%20abbreviations%2C%20and%20the%20differences%20in%20linguistic%20syntax%20%28e.g.%20word%20order%29%20between%20languages.%20LOINC%27s%20open%20and%20customizable%20approach%20has%20enabled%20many%20different%20groups%20to%20create%20translations%20that%20met%20their%20needs%20and%20matched%20their%20resources.%20Distributing%20the%20standard%20and%20its%20many%20language%20translations%20at%20no%20cost%20worldwide%20accelerates%20LOINC%20adoption%20globally%2C%20and%20is%20an%20important%20enabler%20of%20interoperable%20health%20information%20exchange.%22%2C%22date%22%3A%22Aug%202012%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.jbi.2012.01.005%22%2C%22ISSN%22%3A%221532-0480%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22285984%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22ZR9Q79TD%22%2C%22UHEGRX8T%22%2C%22VDHXBQQ3%22%2C%22V5JAQQQG%22%2C%227TRC24DF%22%2C%22G47DL5VZ%22%2C%22M34VL9YZ%22%2C%222BQMAR3S%22%2C%22C4NHMHDT%22%2C%22W78PTPSC%22%5D%2C%22dateModified%22%3A%222019-07-10T18%3A16%3A19Z%22%7D%7D%2C%7B%22key%22%3A%222AWIRJEB%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lin%20et%20al.%22%2C%22parsedDate%22%3A%222012-08%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3ELin%20MC%2C%20Vreeman%20DJ%2C%20McDonald%20CJ%2C%20Huff%20SM.%20Auditing%20consistency%20and%20usefulness%20of%20LOINC%20use%20among%20three%20large%20institutions%20-%20Using%20version%20spaces%20for%20grouping%20LOINC%20codes.%20J%20Biomed%20Inform%20%5BInternet%5D.%202012%20Aug%20%5Bcited%202012%20Aug%2019%5D%3B45%284%29%3A658%26%23x2013%3B66.%20Available%20from%3A%20%3Ca%20href%3D%27http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22306382%27%3Ehttp%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22306382%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Auditing%20consistency%20and%20usefulness%20of%20LOINC%20use%20among%20three%20large%20institutions%20-%20Using%20version%20spaces%20for%20grouping%20LOINC%20codes%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M%20C%22%2C%22lastName%22%3A%22Lin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22D%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clement%20J%22%2C%22lastName%22%3A%22McDonald%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22S%20M%22%2C%22lastName%22%3A%22Huff%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVES%5Cn%5CnWe%20wanted%20to%20develop%20a%20method%20for%20evaluating%20the%20consistency%20and%20usefulness%20of%20LOINC%20code%20use%20across%20different%20institutions%2C%20and%20to%20evaluate%20the%20degree%20of%20interoperability%20that%20can%20be%20attained%20when%20using%20LOINC%20codes%20for%20laboratory%20data%20exchange.%20Our%20specific%20goals%20were%20to%3A%20%281%29%20Determine%20if%20any%20contradictory%20knowledge%20exists%20in%20LOINC.%20%282%29%20Determine%20how%20many%20LOINC%20codes%20were%20used%20in%20a%20truly%20interoperable%20fashion%20between%20systems.%20%283%29%20Provide%20suggestions%20for%20improving%20the%20semantic%20interoperability%20of%20LOINC.%5Cn%5Cn%5CnMETHODS%5Cn%5CnWe%20collected%20Extensional%20Definitions%20%28EDs%29%20of%20LOINC%20usage%20from%20three%20institutions.%20The%20version%20space%20approach%20was%20used%20to%20divide%20LOINC%20codes%20into%20small%20sets%2C%20which%20made%20auditing%20of%20LOINC%20use%20across%20the%20institutions%20feasible.%20We%20then%20compared%20pairings%20of%20LOINC%20codes%20from%20the%20three%20institutions%20for%20consistency%20and%20usefulness.%5Cn%5Cn%5CnRESULTS%5Cn%5CnThe%20number%20of%20LOINC%20codes%20evaluated%20were%201917%2C%201267%20and%201693%20as%20obtained%20from%20ARUP%2C%20Intermountain%20and%20Regenstrief%20respectively.%20There%20were%202022%2C%202030%2C%20and%202301%20version%20spaces%20among%20ARUP%20and%20Intermountain%2C%20Intermountain%20and%20Regenstrief%20and%20ARUP%20and%20Regenstrief%20respectively.%20Using%20the%20EDs%20as%20the%20gold%20standard%2C%20there%20were%20104%2C%20109%20and%20112%20pairs%20containing%20contradictory%20knowledge%20and%20there%20were%201165%2C%20765%20and%201121%20semantically%20interoperable%20pairs.%20The%20interoperable%20pairs%20were%20classified%20into%20three%20levels%3A%20%281%29%20Level%20I%20-%20No%20loss%20of%20meaning%2C%20complete%20information%20was%20exchanged%20by%20identical%20codes.%20%282%29%20Level%20II%20-%20No%20loss%20of%20meaning%2C%20but%20processing%20of%20data%20was%20needed%20to%20make%20the%20data%20completely%20comparable.%20%283%29%20Level%20III%20-%20Some%20loss%20of%20meaning.%20For%20example%2C%20tests%20with%20a%20specific%20%27method%27%20could%20be%20rolled-up%20with%20tests%20that%20were%20%27methodless%27.%5Cn%5Cn%5CnCONCLUSIONS%5Cn%5CnThere%20are%20variations%20in%20the%20way%20LOINC%20is%20used%20for%20data%20exchange%20that%20result%20in%20some%20data%20not%20being%20truly%20interoperable%20across%20different%20enterprises.%20To%20improve%20its%20semantic%20interoperability%2C%20we%20need%20to%20detect%20and%20correct%20any%20contradictory%20knowledge%20within%20LOINC%20and%20add%20computable%20relationships%20that%20can%20be%20used%20for%20making%20reliable%20inferences%20about%20the%20data.%20The%20LOINC%20committee%20should%20also%20provide%20detailed%20guidance%20on%20best%20practices%20for%20mapping%20from%20local%20codes%20to%20LOINC%20codes%20and%20for%20using%20LOINC%20codes%20in%20data%20exchange.%22%2C%22date%22%3A%22Aug%202012%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.jbi.2012.01.008%22%2C%22ISSN%22%3A%221532-0480%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22306382%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%222BQMAR3S%22%5D%2C%22dateModified%22%3A%222019-07-10T18%3A19%3A07Z%22%7D%7D%2C%7B%22key%22%3A%223F8XI537%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Kroth%20et%20al.%22%2C%22parsedDate%22%3A%222012-08%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EKroth%20PJ%2C%20Daneshvari%20S%2C%20Harris%20EF%2C%20Vreeman%20DJ%2C%20Edgar%20HJH.%20Using%20LOINC%20to%20link%2010%20terminology%20standards%20to%20one%20unified%20standard%20in%20a%20specialized%20domain.%20J%20Biomed%20Inform%20%5BInternet%5D.%202012%20Aug%20%5Bcited%202012%20Aug%2019%5D%3B45%284%29%3A674%26%23x2013%3B82.%20Available%20from%3A%20%3Ca%20href%3D%27http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22036696%27%3Ehttp%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22036696%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Using%20LOINC%20to%20link%2010%20terminology%20standards%20to%20one%20unified%20standard%20in%20a%20specialized%20domain%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Philip%20J%22%2C%22lastName%22%3A%22Kroth%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shamsi%22%2C%22lastName%22%3A%22Daneshvari%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Edward%20F%22%2C%22lastName%22%3A%22Harris%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Heather%20J%20H%22%2C%22lastName%22%3A%22Edgar%22%7D%5D%2C%22abstractNote%22%3A%22Despite%20the%20existence%20of%20multiple%20standards%20for%20the%20coding%20of%20biomedical%20data%20and%20the%20known%20benefits%20of%20doing%20so%2C%20there%20remain%20a%20myriad%20of%20biomedical%20information%20domain%20spaces%20that%20are%20essentially%20un-coded%20and%20unstandardized.%20Perhaps%20a%20worse%20situation%20is%20when%20the%20same%20or%20similar%20information%20in%20a%20given%20domain%20is%20coded%20to%20a%20variety%20of%20different%20standards.%20Such%20is%20the%20case%20with%20cephalometrics%20-%20standardized%20measurements%20of%20angles%20and%20distances%20between%20specified%20landmarks%20on%20X-ray%20film%20used%20for%20orthodontic%20treatment%20planning%20and%20a%20variety%20of%20research%20applications.%20We%20describe%20how%20we%20unified%20the%20existing%20cephalometric%20definitions%20from%2010%20existing%20cephalometric%20standards%20to%20one%20unifying%20terminology%20set%20using%20an%20existing%20standard%20%28LOINC%29.%20Using%20our%20example%20of%20an%20open%20and%20web-based%20orthodontic%20case%20file%20system%2C%20we%20describe%20how%20this%20work%20benefited%20our%20project%20and%20discuss%20how%20adopting%20or%20expanding%20established%20standards%20can%20benefit%20other%20similar%20projects%20in%20specialized%20domains.%22%2C%22date%22%3A%22Aug%202012%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.jbi.2011.10.003%22%2C%22ISSN%22%3A%221532-0480%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22036696%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%222BQMAR3S%22%2C%22KI3D6JC5%22%5D%2C%22dateModified%22%3A%222019-07-10T18%3A13%3A53Z%22%7D%7D%2C%7B%22key%22%3A%22GWXD942W%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Pan%20et%20al.%22%2C%22parsedDate%22%3A%222012-05%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EPan%20H%2C%20Tryka%20KA%2C%20Vreeman%20DJ%2C%20Huggins%20W%2C%20Phillips%20MJ%2C%20Mehta%20JP%2C%20et%20al.%20Using%20PhenX%20measures%20to%20identify%20opportunities%20for%20cross-study%20analysis.%20Hum%20Mutat%20%5BInternet%5D.%202012%20May%20%5Bcited%202012%20Aug%2019%5D%3B33%285%29%3A849%26%23x2013%3B57.%20Available%20from%3A%20%3Ca%20href%3D%27http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22415805%27%3Ehttp%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22415805%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3DJ575KNXM%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Using%20PhenX%20measures%20to%20identify%20opportunities%20for%20cross-study%20analysis%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Huaqin%22%2C%22lastName%22%3A%22Pan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kimberly%20A%22%2C%22lastName%22%3A%22Tryka%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Wayne%22%2C%22lastName%22%3A%22Huggins%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%20J%22%2C%22lastName%22%3A%22Phillips%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jayashri%20P%22%2C%22lastName%22%3A%22Mehta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jacqueline%20H%22%2C%22lastName%22%3A%22Phillips%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clement%20J%22%2C%22lastName%22%3A%22McDonald%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Heather%20A%22%2C%22lastName%22%3A%22Junkins%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Erin%20M%22%2C%22lastName%22%3A%22Ramos%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Carol%20M%22%2C%22lastName%22%3A%22Hamilton%22%7D%5D%2C%22abstractNote%22%3A%22The%20PhenX%20Toolkit%20provides%20researchers%20with%20recommended%2C%20well-established%2C%20low-burden%20measures%20suitable%20for%20human%20subject%20research.%20The%20database%20of%20Genotypes%20and%20Phenotypes%20%28dbGaP%29%20is%20the%20data%20repository%20for%20a%20variety%20of%20studies%20funded%20by%20the%20National%20Institutes%20of%20Health%2C%20including%20genome-wide%20association%20studies.%20The%20dbGaP%20requires%20that%20investigators%20provide%20a%20data%20dictionary%20of%20study%20variables%20as%20part%20of%20the%20data%20submission%20process.%20Thus%2C%20dbGaP%20is%20a%20unique%20resource%20that%20can%20help%20investigators%20identify%20studies%20that%20share%20the%20same%20or%20similar%20variables.%20As%20a%20proof%20of%20concept%2C%20variables%20from%2016%20studies%20deposited%20in%20dbGaP%20were%20mapped%20to%20PhenX%20measures.%20Soon%2C%20investigators%20will%20be%20able%20to%20search%20dbGaP%20using%20PhenX%20variable%20identifiers%20and%20find%20comparable%20and%20related%20variables%20in%20these%2016%20studies.%20To%20enhance%20effective%20data%20exchange%2C%20PhenX%20measures%2C%20protocols%2C%20and%20variables%20were%20modeled%20in%20Logical%20Observation%20Identifiers%20Names%20and%20Codes%20%28LOINC%5Cu00ae%20%29.%20PhenX%20domains%20and%20measures%20are%20also%20represented%20in%20the%20Cancer%20Data%20Standards%20Registry%20and%20Repository%20%28caDSR%29.%20Associating%20PhenX%20measures%20with%20existing%20standards%20%28LOINC%5Cu00ae%20and%20caDSR%29%20and%20mapping%20to%20dbGaP%20study%20variables%20extends%20the%20utility%20of%20these%20measures%20by%20revealing%20new%20opportunities%20for%20cross-study%20analysis.%22%2C%22date%22%3A%22May%202012%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1002%5C%2Fhumu.22074%22%2C%22ISSN%22%3A%221098-1004%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22415805%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22GX8A24FE%22%2C%227TRC24DF%22%2C%22M34VL9YZ%22%2C%222BQMAR3S%22%2C%22C4NHMHDT%22%2C%22EGJP3JH9%22%5D%2C%22dateModified%22%3A%222019-07-10T18%3A27%3A15Z%22%7D%7D%2C%7B%22key%22%3A%22Q3S45BDT%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Gamache%20et%20al.%22%2C%22parsedDate%22%3A%222012%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EGamache%20RE%2C%20Dixon%20BE%2C%20Grannis%20S%2C%20Vreeman%20DJ.%20Impact%20of%20selective%20mapping%20strategies%20on%20automated%20laboratory%20result%20notification%20to%20public%20health%20authorities.%20AMIA%20Annu%20Symp%20Proc.%202012%3B2012%3A228%26%23x2013%3B36.%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Impact%20of%20selective%20mapping%20strategies%20on%20automated%20laboratory%20result%20notification%20to%20public%20health%20authorities%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Roland%20E.%22%2C%22lastName%22%3A%22Gamache%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Brian%20E.%22%2C%22lastName%22%3A%22Dixon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shaun%22%2C%22lastName%22%3A%22Grannis%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J.%22%2C%22lastName%22%3A%22Vreeman%22%7D%5D%2C%22abstractNote%22%3A%22Automated%20electronic%20laboratory%20reporting%20%28ELR%29%20for%20public%20health%20has%20many%20potential%20advantages%2C%20but%20requires%20mapping%20local%20laboratory%20test%20codes%20to%20a%20standard%20vocabulary%20such%20as%20LOINC.%20Mapping%20only%20the%20most%20frequently%20reported%20tests%20provides%20one%20way%20to%20prioritize%20the%20effort%20and%20mitigate%20the%20resource%20burden.%20We%20evaluated%20the%20implications%20of%20selective%20mapping%20on%20ELR%20for%20public%20health%20by%20comparing%20reportable%20conditions%20from%20an%20operational%20ELR%20system%20with%20the%20codes%20in%20the%20LOINC%20Top%202000.%20Laboratory%20result%20codes%20in%20the%20LOINC%20Top%202000%20accounted%20for%2065.3%25%20of%20the%20reportable%20condition%20volume.%20However%2C%20by%20also%20including%20the%20129%20most%20frequent%20LOINC%20codes%20that%20identified%20reportable%20conditions%20in%20our%20system%20but%20were%20not%20present%20in%20the%20LOINC%20Top%202000%2C%20this%20set%20would%20cover%2098%25%20of%20the%20reportable%20condition%20volume.%20Our%20study%20highlights%20the%20ways%20that%20our%20approach%20to%20implementing%20vocabulary%20standards%20impacts%20secondary%20data%20uses%20such%20as%20public%20health%20reporting.%22%2C%22date%22%3A%222012%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%221942-597X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%5D%2C%22dateModified%22%3A%222019-07-09T21%3A01%3A55Z%22%7D%7D%2C%7B%22key%22%3A%226K44E3TI%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Rajda%20et%20al.%22%2C%22parsedDate%22%3A%222011%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3ERajda%20J%2C%20Vreeman%20DJ%2C%20Wei%20HG.%20Semantic%20interoperability%20of%20Health%20Risk%20Assessments.%20AMIA%20Annu%20Symp%20Proc%20%5BInternet%5D.%202011%20%5Bcited%202012%20Aug%2019%5D%3B2011%3A1134%26%23x2013%3B43.%20Available%20from%3A%20%3Ca%20href%3D%27http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22195174%27%3Ehttp%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22195174%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Semantic%20interoperability%20of%20Health%20Risk%20Assessments%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jay%22%2C%22lastName%22%3A%22Rajda%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henry%20G%22%2C%22lastName%22%3A%22Wei%22%7D%5D%2C%22abstractNote%22%3A%22The%20health%20insurance%20and%20benefits%20industry%20has%20administered%20Health%20Risk%20Assessments%20%28HRAs%29%20at%20an%20increasing%20rate.%20These%20are%20used%20to%20collect%20data%20on%20modifiable%20health%20risk%20factors%20for%20wellness%20and%20disease%20management%20programs.%20However%2C%20there%20is%20significant%20variability%20in%20the%20semantics%20of%20these%20assessments%2C%20making%20it%20difficult%20to%20compare%20data%20sets%20from%20the%20output%20of%202%20different%20HRAs.%20There%20is%20also%20an%20increasing%20need%20to%20exchange%20this%20data%20with%20Health%20Information%20Exchanges%20and%20Electronic%20Medical%20Records.%20To%20standardize%20the%20data%20and%20concepts%20from%20these%20tools%2C%20we%20outline%20a%20process%20to%20determine%20presence%20of%20certain%20common%20elements%20of%20modifiable%20health%20risk%20extracted%20from%20these%20surveys.%20This%20information%20is%20coded%20using%20concept%20identifiers%2C%20which%20allows%20cross-survey%20comparison%20and%20analysis.%20We%20propose%20that%20using%20LOINC%20codes%20or%20other%20universal%20coding%20schema%20may%20allow%20semantic%20interoperability%20of%20a%20variety%20of%20HRA%20tools%20across%20the%20industry%2C%20research%2C%20and%20clinical%20settings.%22%2C%22date%22%3A%222011%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%221942-597X%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F22195174%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%222BQMAR3S%22%5D%2C%22dateModified%22%3A%222019-07-10T18%3A08%3A30Z%22%7D%7D%2C%7B%22key%22%3A%22BR4S59FP%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lin%20et%20al.%22%2C%22parsedDate%22%3A%222011%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3ELin%20MC%2C%20Vreeman%20DJ%2C%20McDonald%20CJ%2C%20Huff%20SM.%20A%20characterization%20of%20local%20LOINC%20mapping%20for%20laboratory%20tests%20in%20three%20large%20institutions.%20Methods%20Inf%20Med%20%5BInternet%5D.%202011%20%5Bcited%202012%20Aug%2019%5D%3B50%282%29%3A105%26%23x2013%3B14.%20Available%20from%3A%20%3Ca%20href%3D%27http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F20725694%27%3Ehttp%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F20725694%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20characterization%20of%20local%20LOINC%20mapping%20for%20laboratory%20tests%20in%20three%20large%20institutions%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M%20C%22%2C%22lastName%22%3A%22Lin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22D%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C%20J%22%2C%22lastName%22%3A%22McDonald%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22S%20M%22%2C%22lastName%22%3A%22Huff%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVES%5Cn%5CnWe%20characterized%20the%20use%20of%20laboratory%20LOINC%5Cu00ae%20codes%20in%20three%20large%20institutions%2C%20focused%20on%20the%20following%20questions%3A%201%29%20How%20many%20local%20codes%20had%20been%20voluntarily%20mapped%20to%20LOINC%20codes%20by%20each%20institution%3F%202%29%20Could%20additional%20mappings%20be%20found%20by%20expert%20manual%20review%20for%20any%20local%20codes%20that%20were%20not%20initially%20mapped%20to%20LOINC%20codes%20by%20the%20local%20institution%3F%20and%203%29%20Are%20there%20any%20common%20characteristics%20of%20unmapped%20local%20codes%20that%20might%20explain%20why%20some%20local%20codes%20were%20not%20mapped%20to%20LOINC%20codes%20by%20the%20local%20institution%3F%5Cn%5Cn%5CnMETHODS%5Cn%5CnWith%20Institutional%20Review%20Board%20%28IRB%29%20approval%2C%20we%20obtained%20deidentified%20data%20from%20three%20large%20institutions.%20We%20calculated%20the%20percentage%20of%20local%20codes%20that%20have%20been%20mapped%20to%20LOINC%20by%20personnel%20at%20each%20of%20the%20institutions.%20We%20also%20analyzed%20a%20sample%20of%20unmapped%20local%20codes%20to%20determine%20whether%20any%20additional%20LOINC%20mappings%20could%20be%20made%20and%20identify%20common%20characteristics%20that%20might%20explain%20why%20some%20local%20codes%20did%20not%20have%20mappings.%5Cn%5Cn%5CnRESULTS%5Cn%5CnConcept%20type%20coverage%20and%20concept%20token%20coverage%20%28volume%20of%20instance%20data%20covered%29%20of%20local%20codes%20mapped%20to%20LOINC%20codes%20were%200.44%5C%2F0.59%2C%200.78%5C%2F0.78%20and%200.79%5C%2F0.88%20for%20ARUP%2C%20Intermountain%2C%20and%20Regenstrief%2C%20respectively.%20After%20additional%20expert%20manual%20mapping%2C%20the%20results%20showed%20mapping%20rates%20of%200.63%5C%2F0.72%2C%200.83%5C%2F0.80%20and%200.88%5C%2F0.90%2C%20respectively.%20After%20excluding%20local%20codes%20which%20were%20not%20useful%20for%20inter-institutional%20data%20exchange%2C%20the%20mapping%20rates%20became%200.73%5C%2F0.79%2C%200.90%5C%2F0.99%20and%200.93%5C%2F0.997%2C%20respectively.%5Cn%5Cn%5CnCONCLUSIONS%5Cn%5CnLocal%20codes%20for%20two%20institutions%20could%20be%20mapped%20to%20LOINC%20codes%20with%2099%25%20or%20better%20concept%20token%20coverage%2C%20but%20mapping%20for%20a%20third%20institution%20%28a%20reference%20laboratory%29%20only%20achieved%2079%25%20concept%20token%20coverage.%20Our%20research%20supports%20the%20conclusions%20of%20others%20that%20not%20all%20local%20codes%20should%20be%20assigned%20LOINC%20codes.%20There%20should%20also%20be%20public%20discussions%20to%20develop%20more%20precise%20rules%20for%20when%20LOINC%20codes%20should%20be%20assigned.%22%2C%22date%22%3A%222011%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.3414%5C%2FME09-01-0072%22%2C%22ISSN%22%3A%220026-1270%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F20725694%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%222BQMAR3S%22%5D%2C%22dateModified%22%3A%222019-07-10T17%3A58%3A43Z%22%7D%7D%2C%7B%22key%22%3A%227TV963JH%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lin%20et%20al.%22%2C%22parsedDate%22%3A%222011%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3ELin%20MC%2C%20Vreeman%20DJ%2C%20Huff%20SM.%20Investigating%20the%20semantic%20interoperability%20of%20laboratory%20data%20exchanged%20using%20LOINC%20codes%20in%20three%20large%20institutions.%20AMIA%20Annu%20Symp%20Proc.%202011%3B2011%3A805%26%23x2013%3B14.%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Investigating%20the%20semantic%20interoperability%20of%20laboratory%20data%20exchanged%20using%20LOINC%20codes%20in%20three%20large%20institutions%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ming-Chin%22%2C%22lastName%22%3A%22Lin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J.%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stanley%20M.%22%2C%22lastName%22%3A%22Huff%22%7D%5D%2C%22abstractNote%22%3A%22LOINC%20codes%20are%20seeing%20increased%20use%20in%20many%20organizations.%20In%20this%20study%2C%20we%20examined%20the%20barriers%20to%20semantic%20interoperability%20that%20still%20exist%20in%20electronic%20data%20exchange%20of%20laboratory%20results%20even%20when%20LOINC%20codes%20are%20being%20used%20as%20the%20observation%20identifiers.%20We%20analyzed%20semantic%20interoperability%20of%20laboratory%20data%20exchanged%20using%20LOINC%20codes%20in%20three%20large%20institutions.%20To%20simplify%20the%20analytic%20process%2C%20we%20divided%20the%20laboratory%20data%20into%20quantitative%20and%20non-quantitative%20tests.%20The%20analysis%20revealed%20many%20inconsistencies%20even%20when%20LOINC%20codes%20are%20used%20to%20exchange%20laboratory%20data.%20For%20quantitative%20tests%2C%20the%20most%20frequent%20problems%20were%20inconsistencies%20in%20the%20use%20of%20units%20of%20measure%3A%20variations%20in%20the%20strings%20used%20to%20represent%20units%20%28unrecognized%20synonyms%29%2C%20use%20of%20units%20that%20result%20in%20different%20magnitudes%20of%20the%20numeric%20quantity%2C%20and%20missing%20units%20of%20measure.%20For%20non-quantitative%20tests%2C%20the%20most%20frequent%20problems%20were%20acronyms%5C%2Fsynonyms%2C%20different%20classes%20of%20elements%20in%20enumerated%20lists%2C%20and%20the%20use%20of%20free%20text.%20Our%20findings%20highlight%20the%20limitations%20of%20interoperability%20in%20current%20laboratory%20reporting.%22%2C%22date%22%3A%222011%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%221942-597X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22ZR9Q79TD%22%2C%22VDHXBQQ3%22%2C%222BQMAR3S%22%5D%2C%22dateModified%22%3A%222019-07-10T17%3A35%3A20Z%22%7D%7D%2C%7B%22key%22%3A%22TNJP7C3Q%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vreeman%20et%20al.%22%2C%22parsedDate%22%3A%222010%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EVreeman%20DJ%2C%20McDonald%20CJ%2C%20Huff%20SM.%20Representing%20Patient%20Assessments%20in%20LOINC%26%23xAE%3B.%20AMIA%20Annu%20Symp%20Proc%20%5BInternet%5D.%202010%20%5Bcited%202012%20Aug%2019%5D%3B2010%3A832%26%23x2013%3B6.%20Available%20from%3A%20%3Ca%20href%3D%27http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F21347095%27%3Ehttp%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F21347095%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Representing%20Patient%20Assessments%20in%20LOINC%5Cu00ae%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clement%20J%22%2C%22lastName%22%3A%22McDonald%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stanley%20M%22%2C%22lastName%22%3A%22Huff%22%7D%5D%2C%22abstractNote%22%3A%22Without%20being%20included%20in%20accepted%20vocabulary%20standards%2C%20the%20results%20of%20completed%20patient%20assessment%20instruments%20cannot%20be%20easily%20shared%20in%20health%20information%20exchanges.%20To%20address%20this%20important%20barrier%2C%20we%20have%20developed%20a%20robust%20model%20to%20represent%20assessments%20in%20LOINC%20through%20iterative%20refinement%20and%20collaborative%20development.%20To%20capture%20the%20essential%20aspects%20of%20the%20assessment%2C%20the%20LOINC%20model%20represents%20the%20hierarchical%20panel%20structure%2C%20global%20item%20attributes%2C%20panel-specific%20item%20attributes%2C%20and%20structured%20answer%20lists.%20All%20assessments%20are%20available%20in%20a%20uniform%20format%20within%20the%20freely%20available%20LOINC%20distribution.%20We%20have%20successfully%20added%20many%20assessments%20to%20LOINC%20in%20this%20model%2C%20including%20several%20federally%20required%20assessments%20that%20contain%20functioning%20and%20disability%20content.%20We%20continue%20adding%20to%20this%20%5C%22master%20question%20file%5C%22%20to%20further%20enable%20interoperable%20exchange%2C%20storage%2C%20and%20processing%20of%20assessment%20data.%22%2C%22date%22%3A%222010%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%221942-597X%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F21347095%22%2C%22collections%22%3A%5B%22WA5R6E5T%22%2C%22TQHS9NSE%22%2C%227TRC24DF%22%2C%222BQMAR3S%22%2C%22KI3D6JC5%22%5D%2C%22dateModified%22%3A%222019-07-10T17%3A58%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22GWP7C6TM%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lin%20et%20al.%22%2C%22parsedDate%22%3A%222010%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3ELin%20MC%2C%20Vreeman%20DJ%2C%20McDonald%20CJ%2C%20Huff%20SM.%20Correctness%20of%20Voluntary%20LOINC%20Mapping%20for%20Laboratory%20Tests%20in%20Three%20Large%20Institutions.%20AMIA%20Annu%20Symp%20Proc%20%5BInternet%5D.%202010%20%5Bcited%202012%20Aug%2019%5D%3B447%26%23x2013%3B51.%20Available%20from%3A%20%3Ca%20href%3D%27http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F21347018%27%3Ehttp%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F21347018%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Correctness%20of%20Voluntary%20LOINC%20Mapping%20for%20Laboratory%20Tests%20in%20Three%20Large%20Institutions%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ming-Chin%22%2C%22lastName%22%3A%22Lin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clement%20J%22%2C%22lastName%22%3A%22McDonald%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stanley%20M%22%2C%22lastName%22%3A%22Huff%22%7D%5D%2C%22abstractNote%22%3A%22With%20IRB%20approval%2C%20we%20obtained%20de-identified%20laboratory%20test%20data%20from%203%20large%20institutions%20%28ARUP%2C%20Intermountain%2C%20and%20Regenstrief%29.%20In%20this%20study%20we%20evaluated%20correctness%20of%20mapping%20local%20laboratory%20result%20codes%20to%20Logical%20Observation%20Identifier%20Names%20and%20Codes%20%28LOINC%5Cu00ae%29.%20We%20received%209%2C027%20laboratory%20tests%20mapped%20to%203%2C669%20unique%20LOINC%20codes.%20A%20one%20tenth%20sample%20%28884%20tests%29%20was%20manually%20reviewed%20for%20correctness%20of%20the%20mappings.%20After%20review%2C%20there%20were%204%20tests%20mapped%20to%20totally%20unrelated%20LOINC%20codes%20and%20there%20were%2036%20tests%20containing%20at%20least%20one%20error%20in%20mapping%20to%20the%206%20axes%20of%20LOINC.%20The%20errors%20of%20LOINC%20mapping%20could%20be%20categorized%20into%204%20systematic%20errors%3A%201%29%20human%20errors%2C%202%29%20mapping%20to%20different%20granularity%2C%203%29%20lack%20of%20knowledge%20of%20the%20meaning%20of%20laboratory%20tests%20and%204%29%20lack%20of%20knowledge%20of%20LOINC%20naming%20rules.%20Finally%2C%20we%20discuss%20how%20these%20systematic%20mapping%20errors%20might%20be%20avoided%20in%20the%20future.%22%2C%22date%22%3A%222010%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%221942-597X%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F21347018%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22ZR9Q79TD%22%2C%22VDHXBQQ3%22%2C%222BQMAR3S%22%5D%2C%22dateModified%22%3A%222019-07-10T17%3A51%3A29Z%22%7D%7D%2C%7B%22key%22%3A%22KMCKSHDR%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vreeman%20et%20al.%22%2C%22parsedDate%22%3A%222010%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EVreeman%20DJ%2C%20McDonald%20CJ%2C%20Huff%20SM.%20LOINC%26%23xAE%3B%20-%20A%20Universal%20Catalog%20of%20Individual%20Clinical%20Observations%20and%20Uniform%20Representation%20of%20Enumerated%20Collections.%20Int%20J%20Funct%20Inform%20Personal%20Med.%202010%3B3%284%29%3A273%26%23x2013%3B91.%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3D9CQ35V3M%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22LOINC%5Cu00ae%20-%20A%20Universal%20Catalog%20of%20Individual%20Clinical%20Observations%20and%20Uniform%20Representation%20of%20Enumerated%20Collections%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clement%20J%22%2C%22lastName%22%3A%22McDonald%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stanley%20M%22%2C%22lastName%22%3A%22Huff%22%7D%5D%2C%22abstractNote%22%3A%22In%20many%20areas%20of%20practice%20and%20research%2C%20clinical%20observations%20are%20recorded%20on%20data%20collection%20forms%20by%20asking%20and%20answering%20questions%2C%20yet%20without%20being%20represented%20in%20accepted%20terminology%20standards%20these%20results%20cannot%20be%20easily%20shared%20among%20clinical%20care%20and%20research%20systems.%20LOINC%20contains%20a%20well-developed%20model%20for%20representing%20variables%2C%20answer%20lists%2C%20and%20the%20collections%20that%20contain%20them.%20We%20have%20successfully%20added%20many%20assessments%20and%20other%20collections%20of%20variables%20to%20LOINC%20in%20this%20model.%20By%20creating%20a%20uniform%20representation%20and%20distributing%20it%20worldwide%20at%20no%20cost%2C%20LOINC%20aims%20to%20lower%20the%20barriers%20to%20interoperability%20among%20systems%20and%20make%20this%20valuable%20data%20available%20across%20settings%20when%20and%20where%20it%20is%20needed.%22%2C%22date%22%3A%222010%22%2C%22language%22%3A%22ENG%22%2C%22DOI%22%3A%2210.1504%5C%2FIJFIPM.2010.040211%22%2C%22ISSN%22%3A%221756-2104%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22XFXJ7JCD%22%2C%22GX8A24FE%22%2C%227TRC24DF%22%2C%22G47DL5VZ%22%2C%22M34VL9YZ%22%2C%22C4NHMHDT%22%5D%2C%22dateModified%22%3A%222017-04-11T14%3A05%3A54Z%22%7D%7D%2C%7B%22key%22%3A%2293PUICIQ%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vreeman%20et%20al.%22%2C%22parsedDate%22%3A%222008%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EVreeman%20DJ%2C%20Stark%20M%2C%20Tomashefski%20GL%2C%20Phillips%20DR%2C%20Dexter%20PR.%20Embracing%20change%20in%20a%20health%20information%20exchange.%20AMIA%20Annu%20Symp%20Proc.%202008%3B768%26%23x2013%3B72.%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3D4M8X8QSX%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Embracing%20change%20in%20a%20health%20information%20exchange%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marilyn%22%2C%22lastName%22%3A%22Stark%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gail%20L%22%2C%22lastName%22%3A%22Tomashefski%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22D%20Ryan%22%2C%22lastName%22%3A%22Phillips%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Paul%20R%22%2C%22lastName%22%3A%22Dexter%22%7D%5D%2C%22abstractNote%22%3A%22Managing%20changes%20in%20source%20system%20terms%20and%20surveilling%20for%20associated%20deviations%20in%20HL7%20reporting%20is%20an%20essential%2C%20but%20difficult%20aspect%20of%20a%20health%20information%20exchange.%20We%20analyzed%20the%20mapping%20records%20of%20the%20Indiana%20Network%20for%20Patient%20Care%20in%20order%20to%20characterize%20the%20evolution%20of%20radiology%20and%20laboratory%20system%20terms%20after%20initial%20implementation%20with%20regard%20to%20term%20mappings%20and%20changes%20in%20units%20of%20measure.%20Overall%2C%20we%20added%20half%20as%20many%20new%20post-implementation%20terms%20%289909%29%20as%20we%20added%20for%20initial%20system%20implementations.%20As%20a%20group%2C%20INPC%20institutions%20have%20not%20slowed%20much%20in%20their%20rate%20of%20adding%20new%20terms%20after%20initial%20implementation.%20In%20general%2C%20we%20encountered%20unit-related%20exceptions%20less%20frequently%20than%20new%2C%20unknown%20terms.%20Our%20study%20highlights%20the%20ongoing%20effort%20required%20to%20keep%20up%20with%20evolving%20source%20system%20terms%20in%20a%20regional%20HIE%20and%20the%20need%20to%20willingly%20embrace%20change%20along%20the%20way.%22%2C%22date%22%3A%222008%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%221942-597X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22UHEGRX8T%22%2C%22V5JAQQQG%22%5D%2C%22dateModified%22%3A%222019-07-10T17%3A49%3A19Z%22%7D%7D%2C%7B%22key%22%3A%22X4E7AJHT%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vreeman%20et%20al.%22%2C%22parsedDate%22%3A%222007%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EVreeman%20DJ%2C%20Finnell%20JT%2C%20Overhage%20JM.%20A%20rationale%20for%20parsimonious%20laboratory%20term%20mapping%20by%20frequency.%20AMIA%20Annu%20Symp%20Proc%20%5BInternet%5D.%202007%20%5Bcited%202010%20Jul%2028%5D%3B771%26%23x2013%3B5.%20Available%20from%3A%20%3Ca%20href%3D%27http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F18693941%27%3Ehttp%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F18693941%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20rationale%20for%20parsimonious%20laboratory%20term%20mapping%20by%20frequency%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22John%20T%22%2C%22lastName%22%3A%22Finnell%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J%20Marc%22%2C%22lastName%22%3A%22Overhage%22%7D%5D%2C%22abstractNote%22%3A%22Mapping%20local%20observation%20codes%20to%20a%20standard%20vocabulary%20provides%20a%20bridge%20across%20the%20many%20islands%20of%20data%20that%20reside%20in%20isolated%20systems%2C%20but%20mapping%20is%20resource%20intensive.%20To%20help%20prioritize%20the%20mapping%20effort%2C%20we%20analyzed%20laboratory%20results%20reported%20over%20a%20thirteen%20month%20period%20from%20five%20institutions%20in%20the%20Indiana%20Network%20for%20Patient%20Care.%20Overall%2C%20more%20than%204%2C000%20laboratory%20observation%20codes%20accounted%20for%20almost%2049%20million%20results.%20Of%20the%20observations%20reported%20in%20the%20thirteen%20months%2C%2080%20codes%20%282%25%29%20accounted%20for%2080%25%20of%20the%20total%20volume%20from%20all%20institutions%20and%20784%20codes%20%2819%25%29%20accounted%20for%2099%25%20of%20the%20volume%20from%20all%20institutions.%20The%20244%20to%20517%20observation%20codes%20that%20represented%2099%25%20of%20the%20volume%20at%20each%20institution%20also%20captured%20all%20results%20for%20more%20than%2099%25%20of%20the%20patients%20at%20that%20institution.%20Our%20findings%20suggest%20that%20focusing%20the%20mapping%20effort%20on%20this%20modest%20set%20of%20high-yield%20codes%20can%20reduce%20the%20barriers%20to%20interoperability.%22%2C%22date%22%3A%222007%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%221942-597X%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F18693941%22%2C%22collections%22%3A%5B%22WA5R6E5T%22%2C%22TQHS9NSE%22%2C%22V5JAQQQG%22%2C%22M34VL9YZ%22%2C%222BQMAR3S%22%2C%227BBL6ALD%22%5D%2C%22dateModified%22%3A%222019-07-10T17%3A49%3A10Z%22%7D%7D%2C%7B%22key%22%3A%22G8IF22M9%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vreeman%22%2C%22parsedDate%22%3A%222007%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EVreeman%20DJ.%20Keeping%20up%20with%20changing%20source%20system%20terms%20in%20a%20local%20health%20information%20infrastructure%3A%20running%20to%20stand%20still.%20Stud%20Health%20Technol%20Inform.%202007%3B129%28Pt%201%29%3A775%26%23x2013%3B9.%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Keeping%20up%20with%20changing%20source%20system%20terms%20in%20a%20local%20health%20information%20infrastructure%3A%20running%20to%20stand%20still%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%5D%2C%22abstractNote%22%3A%22Keeping%20up%20with%20changes%20in%20source%20system%20terms%20in%20a%20local%20health%20information%20infrastructure%20requires%20substantial%20effort.%20I%20developed%20a%20program%20to%20assist%20us%20that%20returns%20candidate%20mappings%20based%20on%20string%20similarities%20between%20newly%20encountered%20source%20test%20names%2C%20existing%20source%20test%20names%2C%20and%20our%20master%20dictionary%20term%20names.%20I%20evaluated%20this%20program%27s%20performance%20in%20identifying%20correct%20mappings%20through%20a%20retrospective%20study%20of%20term%20mappings%20to%20our%20master%20dictionary%20from%20four%20radiology%20systems.%20For%20source%20terms%20created%20after%20the%20initial%20system%20integration%2C%20the%20semi-automated%20mapping%20program%20identified%20correct%20mappings%20for%2076.3%25%20of%20terms%20from%20all%20systems.%20Overall%2C%20the%20program%20correctly%20identified%20mappings%20for%2045.6%25%20of%20all%20terms%20by%20exact%20string%20match%20to%20an%20existing%20term.%20The%20program%20identified%20correct%20mappings%20for%2036.9%25%20of%20the%20terms%20without%20an%20exact%20string%20match%20by%20string%20comparison%20to%20existing%20source%20terms%2C%20and%20for%2054.4%25%20of%20the%20remaining%20unmapped%20terms%20by%20string%20comparison%20directly%20to%20master%20dictionary%20terms.%20Because%20managing%20vocabulary%20mappings%20is%20resource-intensive%2C%20accurate%20automated%20tools%20can%20help%20reduce%20the%20effort%20required%20for%20ongoing%20health%20information%20exchange%20among%20disparate%20systems.%22%2C%22date%22%3A%222007%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%220926-9630%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%5D%2C%22dateModified%22%3A%222018-07-04T01%3A35%3A57Z%22%7D%7D%2C%7B%22key%22%3A%22T8AN8WJJ%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vreeman%20and%20McDonald%22%2C%22parsedDate%22%3A%222006%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EVreeman%20DJ%2C%20McDonald%20CJ.%20A%20comparison%20of%20Intelligent%20Mapper%20and%20document%20similarity%20scores%20for%20mapping%20local%20radiology%20terms%20to%20LOINC.%20AMIA%20Annu%20Symp%20Proc%20%5BInternet%5D.%202006%20%5Bcited%202010%20Jul%2028%5D%3B809%26%23x2013%3B13.%20Available%20from%3A%20%3Ca%20href%3D%27http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F17238453%27%3Ehttp%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F17238453%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3DKRMFWXAV%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20comparison%20of%20Intelligent%20Mapper%20and%20document%20similarity%20scores%20for%20mapping%20local%20radiology%20terms%20to%20LOINC%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clement%20J%22%2C%22lastName%22%3A%22McDonald%22%7D%5D%2C%22abstractNote%22%3A%22We%20developed%20a%20program%20for%20mapping%20local%20radiology%20system%20terms%20to%20LOINC%20that%20returns%20a%20ranked%20list%20of%20candidate%20LOINC%20codes%20based%20on%20document%20similarity%20scores.%20We%20compared%20the%20performance%20of%20this%20program%20with%20the%20Intelligent%20Mapper%20%28IM%29%20program%20in%20mapping%20diagnostic%20radiology%20terms%20to%20LOINC.%20The%20cosine%20similarity%20score%20ranked%20the%20correct%20LOINC%20code%20first%20in%2034%25%20of%20the%20terms%20in%20our%20development%20set%20and%2039%25%20of%20the%20terms%20from%20our%20test%20set%2C%20compared%20with%20IM%27s%20ranking%20of%20the%20correct%20LOINC%20code%20first%20in%2083%25%20of%20the%20terms%20in%20our%20development%20set%20and%2092%25%20of%20the%20terms%20in%20our%20test%20set.%20This%20study%20demonstrates%20the%20challenges%20in%20using%20document%20similarity%20scores%20for%20mapping%20to%20LOINC.%20Because%20vocabulary%20mapping%20is%20a%20resource-intensive%20step%20in%20integrating%20data%20from%20disparate%20systems%2C%20we%20need%20continued%20refinement%20of%20automated%20tools%20to%20help%20reduce%20the%20effort%20required.%22%2C%22date%22%3A%222006%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%221942-597X%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F17238453%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22ZR9Q79TD%22%2C%22UHEGRX8T%22%2C%22V5JAQQQG%22%2C%22M34VL9YZ%22%2C%222BQMAR3S%22%2C%227BBL6ALD%22%5D%2C%22dateModified%22%3A%222019-07-10T17%3A43%3A27Z%22%7D%7D%2C%7B%22key%22%3A%22H2AEA5J2%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vreeman%22%2C%22parsedDate%22%3A%222006%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EVreeman%20DJ.%20Maintaining%20mappings%20from%20source%20systems%20in%20a%20local%20health%20information%20infrastructure.%20AMIA%20Annu%20Symp%20Proc.%202006%3B1131.%3C%5C%2Fdiv%3E%5Cn%20%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Maintaining%20mappings%20from%20source%20systems%20in%20a%20local%20health%20information%20infrastructure%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%5D%2C%22abstractNote%22%3A%22We%20developed%20a%20program%20to%20assist%20in%20managing%20changes%20in%20source%20system%20observation%20terms.%20The%20program%20returns%20candidate%20matches%20based%20on%20approximate%20string%20comparator%20scores.%20A%20preliminary%20evaluation%20of%20the%20tool%20for%20managing%20radiology%20term%20updates%20demonstrates%20its%20usefulness%20by%20identifying%20exact%20matches%20for%2061%25%20of%20new%20terms%20and%20high%20probability%20matches%20for%20another%2025%25%20of%20new%20terms.%22%2C%22date%22%3A%222006%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%221942-597X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%5D%2C%22dateModified%22%3A%222018-07-04T01%3A36%3A08Z%22%7D%7D%2C%7B%22key%22%3A%22XSTIST5K%22%2C%22library%22%3A%7B%22id%22%3A1095885%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vreeman%20and%20McDonald%22%2C%22parsedDate%22%3A%222005%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%20style%3D%5C%22clear%3A%20left%3B%20%5C%22%3E%5Cn%20%20%20%20%3Cdiv%20class%3D%5C%22csl-left-margin%5C%22%20style%3D%5C%22float%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%5C%22%3E1.%3C%5C%2Fdiv%3E%3Cdiv%20class%3D%5C%22csl-right-inline%5C%22%20style%3D%5C%22margin%3A%200%20.4em%200%201.5em%3B%5C%22%3EVreeman%20DJ%2C%20McDonald%20CJ.%20Automated%20mapping%20of%20local%20radiology%20terms%20to%20LOINC.%20AMIA%20Annu%20Symp%20Proc%20%5BInternet%5D.%202005%20%5Bcited%202010%20Jul%2028%5D%3B769%26%23x2013%3B73.%20Available%20from%3A%20%3Ca%20href%3D%27http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F16779144%27%3Ehttp%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F16779144%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdanielvreeman.com%5C%2Fdv%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D1095885%26amp%3Bdlkey%3DZF9FHQVP%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%20%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Automated%20mapping%20of%20local%20radiology%20terms%20to%20LOINC%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J%22%2C%22lastName%22%3A%22Vreeman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clement%20J%22%2C%22lastName%22%3A%22McDonald%22%7D%5D%2C%22abstractNote%22%3A%22We%20developed%20an%20automated%20tool%2C%20called%20the%20Intelligent%20Mapper%20%28IM%29%2C%20to%20improve%20the%20efficiency%20and%20consistency%20of%20mapping%20local%20terms%20to%20LOINC.%20We%20evaluated%20IM%27s%20performance%20in%20mapping%20diagnostic%20radiology%20report%20terms%20from%20two%20hospitals%20to%20LOINC%20by%20comparing%20IM%27s%20term%20rankings%20to%20a%20manually%20established%20gold%20standard.%20Using%20a%20CPT-based%20restriction%2C%20for%20terms%20with%20a%20LOINC%20code%20match%2C%20IM%20ranked%20the%20correct%20LOINC%20code%20first%20in%2090%25%20of%20our%20development%20set%20terms%2C%20and%20in%2087%25%20of%20our%20test%20set%20terms.%20The%20CPT-based%20restriction%20significantly%20improved%20IM%27s%20ability%20to%20identify%20correct%20LOINC%20codes.%20We%20have%20made%20IM%20freely%20available%2C%20with%20the%20aim%20of%20reducing%20the%20effort%20required%20to%20integrate%20disparate%20systems%20and%20helping%20move%20us%20towards%20the%20goal%20of%20interoperable%20health%20information%20exchange.%22%2C%22date%22%3A%222005%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%221942-597X%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.ncbi.nlm.nih.gov%5C%2Fpubmed%5C%2F16779144%22%2C%22collections%22%3A%5B%22TQHS9NSE%22%2C%22ZR9Q79TD%22%2C%22UHEGRX8T%22%2C%22VDHXBQQ3%22%2C%22V5JAQQQG%22%2C%22G47DL5VZ%22%2C%22M34VL9YZ%22%2C%222BQMAR3S%22%5D%2C%22dateModified%22%3A%222019-07-10T17%3A39%3A02Z%22%7D%7D%5D%7D
1.
Zhang XA, Yates A, Vasilevsky N, Gourdine JP, Callahan TJ, Carmody LC, et al. Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery. NPJ Digit Med. 2019;2.
Download
1.
Bodenreider O, Cornet R, Vreeman DJ. Recent Developments in Clinical Terminologies - SNOMED CT, LOINC, and RxNorm. Yearb Med Inform. 2018 Aug;27(1):129–39.
Download
1.
Vreeman DJ, Abhyankar S, Wang KC, Carr C, Collins B, Rubin DL, et al. The LOINC RSNA radiology playbook - a unified terminology for radiology procedures. J Am Med Inform Assoc. 2018 May 29;
Download
1.
Beitia AO, Lowry T, Vreeman DJ, Loo GT, Delman BN, Thum FL, et al. Standard Anatomic Terminologies: Comparison for Use in a Health Information Exchange-Based Prior Computed Tomography (CT) Alerting System. JMIR Med Inform. 2017 Dec 14;5(4):e49.
Download
1.
Campbell WS, Karlsson D, Vreeman DJ, Lazenby AJ, Talmon GA, Campbell JR. A computable pathology report for precision medicine: extending an observables ontology unifying SNOMED CT and LOINC. J Am Med Inform Assoc. 2017 Sep 13;
Download
1.
Wang KC, Patel JB, Vyas B, Toland M, Collins B, Vreeman DJ, et al. Use of Radiology Procedure Codes in Health Care: The Need for Standardization and Structure. Radiographics. 2017 Aug;37(4):1099–110.
Download
1.
Vreeman DJ, Hook J, Dixon BE. Learning from the crowd while mapping to LOINC. J Am Med Inform Assoc. 2015 Nov;22(6):1205–11.
Download
1.
Deckard J, McDonald CJ, Vreeman DJ. Supporting interoperability of genetic data with LOINC. J Am Med Inform Assoc. 2015 Feb 5;
Download
1.
Dixon BE, Hook J, Vreeman DJ. Learning From the Crowd in Terminology Mapping: The LOINC Experience. Lab Med. 2015;46(2):168–74.
Download
1.
Dixon BE, Vreeman DJ, Grannis SJ. The Long Road to Semantic Interoperability in Support of Public Health: Experiences from Two States. J Biomed Inform. 2014 Mar 25;
Download
1.
Vreeman DJ, Richoz C. Possibilities and Implications of Using the ICF and Other Vocabulary Standards in Electronic Health Records. Physiother Res Int. 2013 Jul 30;
1.
Fidahussein M, Vreeman DJ. A corpus-based approach for automated LOINC mapping. J Am Med Inform Assoc. 2013 May 15;
Download
1.
Wu J, Finnell JT, Vreeman DJ. Evaluating Congruence Between Laboratory LOINC Value Sets for Quality Measures, Public Health Reporting, and Mapping Common Tests. AMIA Annu Symp Proc. 2013;2013:1525–32.
1.
Vreeman DJ, Chiaravalloti MT, Hook J, McDonald CJ. Enabling international adoption of LOINC through translation. J Biomed Inform [Internet]. 2012 Aug [cited 2012 Aug 19];45(4):667–73. Available from:
http://www.ncbi.nlm.nih.gov/pubmed/22285984
1.
Lin MC, Vreeman DJ, McDonald CJ, Huff SM. Auditing consistency and usefulness of LOINC use among three large institutions - Using version spaces for grouping LOINC codes. J Biomed Inform [Internet]. 2012 Aug [cited 2012 Aug 19];45(4):658–66. Available from:
http://www.ncbi.nlm.nih.gov/pubmed/22306382
1.
Kroth PJ, Daneshvari S, Harris EF, Vreeman DJ, Edgar HJH. Using LOINC to link 10 terminology standards to one unified standard in a specialized domain. J Biomed Inform [Internet]. 2012 Aug [cited 2012 Aug 19];45(4):674–82. Available from:
http://www.ncbi.nlm.nih.gov/pubmed/22036696
1.
Pan H, Tryka KA, Vreeman DJ, Huggins W, Phillips MJ, Mehta JP, et al. Using PhenX measures to identify opportunities for cross-study analysis. Hum Mutat [Internet]. 2012 May [cited 2012 Aug 19];33(5):849–57. Available from:
http://www.ncbi.nlm.nih.gov/pubmed/22415805 Download
1.
Gamache RE, Dixon BE, Grannis S, Vreeman DJ. Impact of selective mapping strategies on automated laboratory result notification to public health authorities. AMIA Annu Symp Proc. 2012;2012:228–36.
1.
Lin MC, Vreeman DJ, McDonald CJ, Huff SM. A characterization of local LOINC mapping for laboratory tests in three large institutions. Methods Inf Med [Internet]. 2011 [cited 2012 Aug 19];50(2):105–14. Available from:
http://www.ncbi.nlm.nih.gov/pubmed/20725694
1.
Lin MC, Vreeman DJ, Huff SM. Investigating the semantic interoperability of laboratory data exchanged using LOINC codes in three large institutions. AMIA Annu Symp Proc. 2011;2011:805–14.
1.
Lin MC, Vreeman DJ, McDonald CJ, Huff SM. Correctness of Voluntary LOINC Mapping for Laboratory Tests in Three Large Institutions. AMIA Annu Symp Proc [Internet]. 2010 [cited 2012 Aug 19];447–51. Available from:
http://www.ncbi.nlm.nih.gov/pubmed/21347018
1.
Vreeman DJ, McDonald CJ, Huff SM. LOINC® - A Universal Catalog of Individual Clinical Observations and Uniform Representation of Enumerated Collections. Int J Funct Inform Personal Med. 2010;3(4):273–91.
Download
1.
Vreeman DJ, Stark M, Tomashefski GL, Phillips DR, Dexter PR. Embracing change in a health information exchange. AMIA Annu Symp Proc. 2008;768–72.
Download
1.
Vreeman DJ, Finnell JT, Overhage JM. A rationale for parsimonious laboratory term mapping by frequency. AMIA Annu Symp Proc [Internet]. 2007 [cited 2010 Jul 28];771–5. Available from:
http://www.ncbi.nlm.nih.gov/pubmed/18693941
1.
Vreeman DJ. Keeping up with changing source system terms in a local health information infrastructure: running to stand still. Stud Health Technol Inform. 2007;129(Pt 1):775–9.
1.
Vreeman DJ, McDonald CJ. A comparison of Intelligent Mapper and document similarity scores for mapping local radiology terms to LOINC. AMIA Annu Symp Proc [Internet]. 2006 [cited 2010 Jul 28];809–13. Available from:
http://www.ncbi.nlm.nih.gov/pubmed/17238453 Download
1.
Vreeman DJ. Maintaining mappings from source systems in a local health information infrastructure. AMIA Annu Symp Proc. 2006;1131.