{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T10:42:14Z","timestamp":1777632134969,"version":"3.51.4"},"reference-count":19,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,4,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>To give providers a better understanding of how to use the electronic health record (EHR), improve efficiency, and reduce burnout.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>All ambulatory providers were offered at least 1 one-on-one session with an \u201coptimizer\u201d focusing on filling gaps in EHR knowledge and lack of customization. Success was measured using pre- and post-surveys that consisted of validated tools and homegrown questions. Only participants who returned both surveys were included in our calculations.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Out of 1155 eligible providers, 1010 participated in optimization sessions. Pre-survey return rate was 90% (1034\/1155) and post-survey was 54% (541\/1010). 451 participants completed both surveys. After completing their optimization sessions, respondents reported a 26% improvement in mean knowledge of EHR functionality (P\u2009&amp;lt;\u2009.01), a 19% increase in the mean efficiency in the EHR (P\u2009&amp;lt;\u2009.01), and a 17% decrease in mean after-hours EHR usage (P\u2009&amp;lt;\u2009.01). Of the 401 providers asked to rate their burnout, 32% reported feelings of burnout in the pre-survey compared to 23% in the post-survey (P\u2009&amp;lt;\u2009.01). Providers were also likely to recommend colleagues participate in the program, with a Net Promoter Score of 41.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Discussion<\/jats:title>\n                  <jats:p>It is possible to improve provider efficiency and feelings of burnout with a personalized optimization program. We ascribe these improvements to the one-on-one nature of our program which provides both training as well as addressing the feeling of isolation many providers feel after implementation.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>It is possible to reduce burnout in ambulatory providers with personalized retraining designed to improve efficiency and knowledge of the EHR.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocaa248","type":"journal-article","created":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T19:19:09Z","timestamp":1600456749000},"page":"931-937","source":"Crossref","is-referenced-by-count":26,"title":["Reducing electronic health record-related burnout in providers through a personalized efficiency improvement program"],"prefix":"10.1093","volume":"28","author":[{"given":"Eli M","family":"Lourie","sequence":"first","affiliation":[{"name":"Perelman 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