{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T19:11:24Z","timestamp":1760728284671,"version":"3.37.3"},"reference-count":20,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2020,5,7]],"date-time":"2020-05-07T00:00:00Z","timestamp":1588809600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100009457","name":"American Medical Association","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009457","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>We sought to determine rates of computerized provider order entry (CPOE) patient identity verification and when and where in the ordering process verification occurred.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>Fifty-five physicians from 4 healthcare systems completed simulated patient scenarios using their respective CPOE system (Epic or Cerner). Eye movements were recorded and analyzed.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Across all participants patient id was verified significantly more often than not (62.4% vs 37.6%). Vendor A had significantly higher verification rates than not; vendor B had no difference. Participants using vendor A verified information significantly more often before signing the order than after (88.4% vs 11.6%); there was no difference in vendor B. The banner bar was the most frequent verification location.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Discussion<\/jats:title>\n                  <jats:p>Factors such as CPOE design, physician training, and the use of a simulated methodology may be impacting verification rates.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Verification rates vary by CPOE product, and this can have patient safety consequences.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocaa047","type":"journal-article","created":{"date-parts":[[2020,3,31]],"date-time":"2020-03-31T11:12:09Z","timestamp":1585653129000},"page":"924-928","source":"Crossref","is-referenced-by-count":4,"title":["Varying rates of patient identity verification when using computerized provider order entry"],"prefix":"10.1093","volume":"27","author":[{"given":"Emilie","family":"Fortman","sequence":"first","affiliation":[{"name":"Georgetown University School of Medicine, Washington, DC, USA"}]},{"given":"A Zachary","family":"Hettinger","sequence":"additional","affiliation":[{"name":"Georgetown University School of Medicine, Washington, DC, USA"},{"name":"MedStar Health National Center for Human Factors in Healthcare, Washington, DC, USA"}]},{"given":"Jessica L","family":"Howe","sequence":"additional","affiliation":[{"name":"MedStar Health National Center for Human Factors in Healthcare, Washington, DC, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7550-1569","authenticated-orcid":false,"given":"Allan","family":"Fong","sequence":"additional","affiliation":[{"name":"MedStar Health National Center for Human Factors in Healthcare, Washington, DC, USA"}]},{"given":"Zoe","family":"Pruitt","sequence":"additional","affiliation":[{"name":"MedStar Health National Center for Human Factors in Healthcare, Washington, DC, USA"}]},{"given":"Kristen","family":"Miller","sequence":"additional","affiliation":[{"name":"Georgetown University School of Medicine, Washington, DC, USA"},{"name":"MedStar Health National Center for Human Factors in Healthcare, Washington, DC, USA"}]},{"given":"Raj M","family":"Ratwani","sequence":"additional","affiliation":[{"name":"Georgetown University School of Medicine, Washington, DC, USA"},{"name":"MedStar Health National Center for Human Factors in Healthcare, Washington, DC, USA"}]}],"member":"286","published-online":{"date-parts":[[2020,5,7]]},"reference":[{"issue":"1","key":"2020110613102727600_ocaa047-B1","first-page":"31","article-title":"Computer physician order entry: benefits, costs, and issues","volume":"139","author":"Kuperman","year":"2003","journal-title":"Ann Emerg Med"},{"issue":"4","key":"2020110613102727600_ocaa047-B2","doi-asserted-by":"crossref","first-page":"353","DOI":"10.2146\/ajhp050379","article-title":"Potential benefits 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