{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:50:40Z","timestamp":1780638640348,"version":"3.54.1"},"reference-count":16,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T00:00:00Z","timestamp":1652745600000},"content-version":"vor","delay-in-days":41,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["K23 MH121190"],"award-info":[{"award-number":["K23 MH121190"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,4,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>As electronic medical record (EMR) data are increasingly used in HIV clinical and epidemiologic research, accurately identifying people with HIV (PWH) from EMR data is paramount. We sought to evaluate EMR data types and compare EMR algorithms for identifying PWH in a multicenter EMR database.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>We collected EMR data from 7 healthcare systems in the Chicago Area Patient-Centered Outcomes Research Network (CAPriCORN) including diagnosis codes, anti-retroviral therapy (ART), and laboratory test results.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>In total, 13\u00a0935 patients had a positive laboratory test for HIV; 33\u00a0412 patients had a diagnosis code for HIV; and 17\u00a0725 patients were on ART. Only 8576 patients had evidence of HIV-positive status for all 3 data types (laboratory results, diagnosis code, and ART). A previously validated combination algorithm identified 22\u00a0411 patients as PWH.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>EMR algorithms that combine laboratory results, administrative data, and ART can be applied to multicenter EMR data to identify PWH.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamiaopen\/ooac033","type":"journal-article","created":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T13:16:41Z","timestamp":1652793401000},"source":"Crossref","is-referenced-by-count":6,"title":["Comparison of algorithms for identifying people with HIV from electronic medical records in a large, multi-site database"],"prefix":"10.1093","volume":"5","author":[{"given":"Jessica P","family":"Ridgway","sequence":"first","affiliation":[{"name":"Department of Medicine, University of Chicago, Chicago, Illinois, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph A","family":"Mason","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Chicago, Chicago, Illinois, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eleanor E","family":"Friedman","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Chicago, Chicago, Illinois, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samantha","family":"Devlin","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Chicago, Chicago, Illinois, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junlan","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Chicago, Chicago, Illinois, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Meltzer","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Chicago, Chicago, Illinois, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Schneider","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Chicago, Chicago, Illinois, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,5,17]]},"reference":[{"issue":"4","key":"2022051713162810400_ooac033-B1","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1089\/aid.2019.0036","article-title":"Computerized adjudication of coronary heart disease events using the electronic medical record in HIV clinical research: possibilities and challenges ahead","volume":"36","author":"Floris-Moore","year":"2020","journal-title":"AIDS Res Hum Retroviruses"},{"issue":"3","key":"2022051713162810400_ooac033-B2","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/s11904-021-00552-3","article-title":"Machine learning and clinical informatics for improving HIV care continuum outcomes","volume":"18","author":"Ridgway","year":"2021","journal-title":"Curr HIV\/AIDS Rep"},{"key":"2022051713162810400_ooac033-B3","doi-asserted-by":"crossref","first-page":"1136","DOI":"10.1007\/s10903-020-01121-3","article-title":"Assessing HIV care outcomes among African-born people living with HIV in Seattle: an analysis of the University of Washington Electronic Medical Record","author":"Erly","year":"2021","journal-title":"J Immigr Minor Health"},{"issue":"3","key":"2022051713162810400_ooac033-B4","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1097\/PHH.0000000000000844","article-title":"A clinical informatics approach to reengagement in HIV care in the emergency department","volume":"25","author":"Ridgway","year":"2019","journal-title":"J Public Health Manag Pract"},{"issue":"2","key":"2022051713162810400_ooac033-B5","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1097\/QAI.0000000000000406","article-title":"HIV laboratory 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