• Liselotte N Dyrbye, Joel Gordon, John O'Horo, Sylvia M Belford, Michael Wright, Daniel V Satele, and Colin P West.
• Department of Medicine. University of Colorado School of Medicine, Denver, CO. Electronic address: liselotte.dyrbye@cuanschutz.edu.
• Mayo Clin. Proc. 2023 Mar 1; 98 (3): 398409398-409.

ObjectiveTo explore the relationship of electronic health record (EHR)-based audit log data with physician burnout and clinical practice process measures.MethodsFrom September 4 to October 7, 2019, we surveyed physicians in a larger academic medical department and matched responses to August 1 through October 31, 2019, EHR-based audit log data. Multivariable regression analysis evaluated the relationship between log data and burnout and the interrelationship between log data and turnaround time for In Basket messages and percentage of encounters closed within 24 hours.ResultsOf the 537 physicians surveyed, 413 (77%) responded. On multivariable analysis, number of In Basket messages received per day (each additional message: odds ratio, 1.04 [95% CI, 1.02 to 1.07]; P<.001) and time spent in the EHR outside scheduled patient care (each additional hour: odds ratio, 1.01 [95% CI, 1.00 to 1.02]; P=.04) were associated with burnout. Time spent doing In Basket work (each additional minute: parameter estimate, -0.11 [95% CI, -0.19 to -0.03]; P=.01) and in the EHR outside scheduled patient care (each additional hour: parameter estimate, 0.04 [95% CI, 0.01 to 0.06]; P=.002) were associated with turnaround time (days per message) for In Basket messages. None of the variables explored were independently associated with percentage of encounters closed within 24 hours.ConclusionElectronic health record-based audit log data of workload relate to odds of burnout and responsiveness to patient-related inquiries and results. Further study is needed to determine whether interventions that reduce the number of and time spent doing In Basket messages or time spent in the EHR outside scheduled patient care reduce physician burnout and improve clinical practice process measures.Copyright © 2023. Published by Elsevier Inc.

8 keywords...

hide…