{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T06:14:54Z","timestamp":1774332894882,"version":"3.50.1"},"reference-count":31,"publisher":"Georg Thieme Verlag KG","issue":"05","funder":[{"name":"U.S. Department of Health and Human Services, National Institutes of Health, National Center for Advancing Translational Sciences","award":["UL1TR001881"],"award-info":[{"award-number":["UL1TR001881"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Clin Inform"],"published-print":{"date-parts":[[2020,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Background\u2003Patients often seek medical treatment among different health care organizations, which can lead to redundant tests and treatments. One electronic health record (EHR) platform, Epic Systems, uses a patient linkage tool called Care Everywhere (CE), to match patients across institutions. To the extent that such linkages accurately identify shared patients across organizations, they would hold potential for improving care.<\/jats:p><jats:p>Objective\u2003This study aimed to understand how accurate the CE tool with default settings is to identify identical patients between two neighboring academic health care systems in Southern California, The University of California Los Angeles (UCLA) and Cedars-Sinai Medical Center.<\/jats:p><jats:p>Methods\u2003We studied CE patient linkage queries received at UCLA from Cedars-Sinai between November 1, 2016, and April 30, 2017. We constructed datasets comprised of linkages (\u201csuccessful\u201d queries), as well as nonlinkages (\u201cunsuccessful\u201d queries) during this time period. To identify false positive linkages, we screened the \u201csuccessful\u201d linkages for potential errors and then manually reviewed all that screened positive. To identify false-negative linkages, we applied our own patient matching algorithm to the \u201cunsuccessful\u201d queries and then manually reviewed a sample to identify missed patient linkages.<\/jats:p><jats:p>Results\u2003During the 6-month study period, Cedars-Sinai attempted to link 181,567 unique patient identities to records at UCLA. CE made 22,923 \u201csuccessful\u201d linkages and returned 158,644 \u201cunsuccessful\u201d queries among these patients. Manual review of the screened \u201csuccessful\u201d linkages between the two institutions determined there were no false positives. Manual review of a sample of the \u201cunsuccessful\u201d queries (n\u2009=\u2009623), demonstrated an extrapolated false-negative rate of 2.97% (95% confidence interval [CI]: 1.6\u20134.4%).<\/jats:p><jats:p>Conclusion\u2003We found that CE provided very reliable patient matching across institutions. The system missed a few linkages, but the false-negative rate was low and there were no false-positive matches over 6 months of use between two nearby institutions.<\/jats:p>","DOI":"10.1055\/s-0040-1718374","type":"journal-article","created":{"date-parts":[[2020,11,4]],"date-time":"2020-11-04T23:57:56Z","timestamp":1604534276000},"page":"725-732","source":"Crossref","is-referenced-by-count":19,"title":["Accuracy of an Electronic Health Record Patient Linkage Module Evaluated between Neighboring Academic Health Care Centers"],"prefix":"10.1055","volume":"11","author":[{"given":"Mindy K.","family":"Ross","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, University of California Los Angeles, Los Angeles, United States"}]},{"given":"Javier","family":"Sanz","sequence":"additional","affiliation":[{"name":"Department of Medicine, Clinical and Translational Science Institute, University of California Los Angeles, Los Angeles, United States"}]},{"given":"Brian","family":"Tep","sequence":"additional","affiliation":[{"name":"Department of Enterprise Information Services, Advanced Analytic Services, Cedars-Sinai Medical Center, Los Angeles, United States"}]},{"given":"Rob","family":"Follett","sequence":"additional","affiliation":[{"name":"Department of Medicine, Clinical and Translational Science Institute, University of California Los Angeles, Los Angeles, United States"}]},{"given":"Spencer L.","family":"Soohoo","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Division of Informatics, Cedars-Sinai Medical Center, Los Angeles, United States"}]},{"given":"Douglas S.","family":"Bell","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of California Los Angeles, Los Angeles, United 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