{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T13:43:59Z","timestamp":1776260639894,"version":"3.50.1"},"reference-count":65,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T00:00:00Z","timestamp":1608595200000},"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:p>Electronic health records (EHR) use is often considered a significant contributor to clinician burnout. Informatics researchers often measure clinical workload using EHR-derived audit logs and use it for quantifying the contribution of EHR use to clinician burnout. However, translating clinician workload measured using EHR-based audit logs into a meaningful burnout metric requires an alignment with the conceptual and theoretical principles of burnout. In this perspective, we describe a systems-oriented conceptual framework to achieve such an alignment and describe the pragmatic realization of this conceptual framework using 3 key dimensions: standardizing the measurement of EHR-based clinical work activities, implementing complementary measurements, and using appropriate instruments to assess burnout and its downstream outcomes. We discuss how careful considerations of such dimensions can help in augmenting EHR-based audit logs to measure factors that contribute to burnout and for meaningfully assessing downstream patient safety outcomes.<\/jats:p>","DOI":"10.1093\/jamia\/ocaa305","type":"journal-article","created":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T20:34:36Z","timestamp":1605904476000},"page":"1032-1037","source":"Crossref","is-referenced-by-count":23,"title":["Conceptual considerations for using EHR-based activity logs to measure clinician burnout and its effects"],"prefix":"10.1093","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4119-4836","authenticated-orcid":false,"given":"Thomas","family":"Kannampallil","sequence":"first","affiliation":[{"name":"Institute for Informatics, Washington University School of Medicine, St Louis, Missouri, USA"},{"name":"Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0235-1632","authenticated-orcid":false,"given":"Joanna","family":"Abraham","sequence":"additional","affiliation":[{"name":"Institute for Informatics, Washington University School of Medicine, St Louis, Missouri, USA"},{"name":"Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri, USA"}]},{"given":"Sunny S","family":"Lou","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri, USA"}]},{"given":"Philip R.O","family":"Payne","sequence":"additional","affiliation":[{"name":"Institute for Informatics, Washington University School of Medicine, St Louis, Missouri, USA"},{"name":"Department of Medicine, Washington University School of Medicine, St Louis, Missouri, 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