{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T12:45:33Z","timestamp":1768481133320,"version":"3.49.0"},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2020,10,8]],"date-time":"2020-10-08T00:00:00Z","timestamp":1602115200000},"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":[[2021,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>We sought reduce electronic health record (EHR) burden on inpatient clinicians with a 2-week EHR optimization sprint.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>A team led by physician informaticists worked with 19 advanced practice providers (APPs) in 1 specialty unit. Over 2 weeks, the team delivered 21 EHR changes, and provided 39 one-on-one training sessions to APPs, with an average of 2.8 hours per provider. We measured Net Promoter Score, thriving metrics, and time spent in the EHR based on user log data.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Of the 19 APPs, 18 completed 2 or more sessions. The EHR Net Promoter Score increased from 6 to 60 postsprint (1.0; 95% confidence interval, 0.3-1.8; P\u2009=\u2009.01). The NPS for the Sprint itself was 93, a very high rating. The 3-axis emotional thriving, emotional recovery, and emotional exhaustion metrics did not show a significant change. By user log data, time spent in the EHR did not show a significant decrease; however, 40% of the APPs responded that they spent less time in the EHR.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>This inpatient sprint improved satisfaction with the EHR.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocaa231","type":"journal-article","created":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T19:13:40Z","timestamp":1600110820000},"page":"628-631","source":"Crossref","is-referenced-by-count":16,"title":["Optimizing the electronic health record: An inpatient sprint addresses provider burnout and improves electronic health record satisfaction"],"prefix":"10.1093","volume":"28","author":[{"given":"Jennifer R","family":"Simpson","sequence":"first","affiliation":[{"name":"Department of Neurology, University of Colorado School of Medicine, Aurora, Colorado, USA"}]},{"given":"Chen-Tan","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4541-0647","authenticated-orcid":false,"given":"Amber","family":"Sieja","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA"}]},{"given":"Stefan H","family":"Sillau","sequence":"additional","affiliation":[{"name":"Department of Neurology and Biostatistics, University of Colorado School of Medicine, Aurora, Colorado, USA"}]},{"given":"Jonathan","family":"Pell","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA"}]}],"member":"286","published-online":{"date-parts":[[2020,10,8]]},"reference":[{"issue":"6","key":"2021030612201846100_ocaa231-B1","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1111\/joim.12752","article-title":"Physician burnout: contributors, consequences and solutions","volume":"283","author":"West","year":"2018","journal-title":"J Intern Med"},{"issue":"12","key":"2021030612201846100_ocaa231-B2","doi-asserted-by":"crossref","first-page":"1600","DOI":"10.1016\/j.mayocp.2015.08.023","article-title":"Changes in burnout and satisfaction with work-life balance in physicians and the general US working population between 2011 and 2014","volume":"90","author":"Shanafelt","year":"2015","journal-title":"Mayo Clin Proc"},{"issue":"7","key":"2021030612201846100_ocaa231-B3","doi-asserted-by":"crossref","first-page":"836","DOI":"10.1016\/j.mayocp.2016.05.007","article-title":"Relationship between clerical burden and characteristics of the electronic environment with physician 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learning plan for providers","volume":"8","author":"Stevens","year":"2017","journal-title":"Appl Clin Inform"},{"issue":"3","key":"2021030612201846100_ocaa231-B7","first-page":"142","article-title":"Approaches and challenges to optimizing primary care teams' electronic health record usage","volume":"21","author":"Pandhi","year":"2014","journal-title":"Inform Prim Care"},{"key":"2021030612201846100_ocaa231-B8","author":"Whitford","year":"2020"},{"issue":"4","key":"2021030612201846100_ocaa231-B9","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1093\/jamia\/ocz220","article-title":"Electronic health records and burnout: Time spent on the electronic health record after hours and message volume associated with exhaustion but not with cynicism among primary care clinicians","volume":"27","author":"Adler-Milstein","year":"2020","journal-title":"J Am Med Inform 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