{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T13:30:13Z","timestamp":1748352613338,"version":"3.37.3"},"reference-count":18,"publisher":"Oxford University Press (OUP)","issue":"2","funder":[{"DOI":"10.13039\/100000092","name":"National Library of Medicine","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>To access the accuracy of the Logical Observation Identifiers Names and Codes (LOINC) mapping to local laboratory test codes that is crucial to data integration across time and healthcare systems.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>We used software tools and manual reviews to estimate the rate of LOINC mapping errors among 179 million mapped test results from 2 DataMarts in PCORnet. We separately reported unweighted and weighted mapping error rates, overall and by parts of the LOINC term.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Of included 179\u00a0537\u00a0986 mapped results for 3029 quantitative tests, 95.4% were mapped correctly implying an 4.6% mapping error rate. Error rates were less than 5% for the more common tests with at least 100\u00a0000 mapped test results. Mapping errors varied across different LOINC classes. Error rates in chemistry and hematology classes, which together accounted for 92.0% of the mapped test results, were 0.4% and 7.5%, respectively. About 50% of mapping errors were due to errors in the property part of the LOINC name.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Discussions<\/jats:title>\n                  <jats:p>Mapping errors could be detected automatically through inconsistencies in (1) qualifiers of the analyte, (2) specimen type, (3) property, and (4) method. Among quantitative test results, which are the large majority of reported tests, application of automatic error detection and correction algorithm could reduce the mapping errors further.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Overall, the mapping error rate within the PCORnet data was 4.6%. This is nontrivial but less than other published error rates of 20%\u201340%. Such error rate decreased substantially to 0.1% after the application of automatic detection and correction algorithm.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocac215","type":"journal-article","created":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T19:09:16Z","timestamp":1667848156000},"page":"301-307","source":"Crossref","is-referenced-by-count":9,"title":["Mis-mappings between a producer\u2019s quantitative test codes and LOINC codes and an algorithm for correcting them"],"prefix":"10.1093","volume":"30","author":[{"given":"Clement J","family":"McDonald","sequence":"first","affiliation":[{"name":"Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health , Bethesda, Maryland, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2077-4316","authenticated-orcid":false,"given":"Seo H","family":"Baik","sequence":"additional","affiliation":[{"name":"Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health , Bethesda, Maryland, USA"}]},{"given":"Zhaonian","family":"Zheng","sequence":"additional","affiliation":[{"name":"Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health , Bethesda, Maryland, USA"}]},{"given":"Liz","family":"Amos","sequence":"additional","affiliation":[{"name":"Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health , Bethesda, Maryland, USA"}]},{"given":"Xiaocheng","family":"Luan","sequence":"additional","affiliation":[{"name":"Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health , Bethesda, Maryland, USA"}]},{"given":"Keith","family":"Marsolo","sequence":"additional","affiliation":[{"name":"Department of Population Health Sciences, Duke University School of Medicine , Durham, North Carolina, USA"}]},{"given":"Laura","family":"Qualls","sequence":"additional","affiliation":[{"name":"Department of Population Health Sciences, Duke University School of Medicine , Durham, North Carolina, USA"}]}],"member":"286","published-online":{"date-parts":[[2022,11,7]]},"reference":[{"issue":"1","key":"2023011811021820600_ocac215-B1","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1093\/clinchem\/42.1.81","article-title":"Logical observation identifier names and codes (LOINC) database: a public use set of codes and names for electronic reporting of clinical laboratory test results","volume":"42","author":"Forrey","year":"1996","journal-title":"Clin Chem"},{"year":"2022","author":"The Office of the National Coordinator for Health Information Technology","key":"2023011811021820600_ocac215-B2"},{"author":"Indiana Health Information Exchange \u2013 Your Healthcare Records 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and related standards in five laboratories","volume":"29","author":"Cholan","year":"2022","journal-title":"J Am Med Inform Assoc"},{"key":"2023011811021820600_ocac215-B10"},{"year":"2022","author":"Smerek","key":"2023011811021820600_ocac215-B11"},{"issue":"2","key":"2023011811021820600_ocac215-B12","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1136\/jamia.1999.0060151","article-title":"Units of measure in clinical information systems","volume":"6","author":"Schadow","year":"1999","journal-title":"J Am Med Inform Assoc"},{"author":"International Union of Pure and Applied Chemistry","key":"2023011811021820600_ocac215-B13"},{"key":"2023011811021820600_ocac215-B14"},{"year":"2022","key":"2023011811021820600_ocac215-B15"},{"issue":"S5","key":"2023011811021820600_ocac215-B16","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1186\/s12859-019-2725-5","article-title":"Reporting and connecting cell type names and gating definitions through ontologies","volume":"20","author":"Overton","year":"2019","journal-title":"BMC Bioinform"},{"key":"2023011811021820600_ocac215-B17","first-page":"611","article-title":"Automated mapping of real-world oncology laboratory data to LOINC","volume":"2021","author":"Kelly","year":"2021","journal-title":"AMIA Annu Symp Proc"},{"author":"Ai","key":"2023011811021820600_ocac215-B18","doi-asserted-by":"publisher","DOI":"10.2139\/SSRN.4092365"}],"container-title":["Journal of the American Medical Informatics 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