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Characterizing electronic health record usage patterns of inpatient medicine residents using event log data.
PLoS One. 2019; 14(2):e0205379.Plos

Abstract

Amid growing rates of burnout, physicians report increasing electronic health record (EHR) usage alongside decreasing clinical facetime with patients. There exists a pressing need to improve physician-computer-patient interactions by streamlining EHR workflow. To identify interventions to improve EHR design and usage, we systematically characterize EHR activity among internal medicine residents at a tertiary academic hospital across various inpatient rotations and roles from June 2013 to November 2016. Logged EHR timestamps were extracted from Stanford Hospital's EHR system (Epic) and cross-referenced against resident rotation schedules. We tracked the quantity of EHR logs across 24-hour cycles to reveal daily usage patterns. In addition, we decomposed daily EHR time into time spent on specific EHR actions (e.g. chart review, note entry and review, results review).In examining 24-hour usage cycles from general medicine day and night team rotations, we identified a prominent trend in which night team activity promptly ceased at the shift's end, while day team activity tended to linger post-shift. Across all rotations and roles, residents spent on average 5.38 hours (standard deviation = 2.07) using the EHR. PGY1 (post-graduate year one) interns and PGY2+ residents spent on average 2.4 and 4.1 times the number of EHR hours on information review (chart, note, and results review) as information entry (note and order entry).Analysis of EHR event log data can enable medical educators and programs to develop more targeted interventions to improve physician-computer-patient interactions, centered on specific EHR actions.

Authors+Show Affiliations

Mathematical and Computational Science Program, Stanford University, Stanford, California, United States of America.Department of Medicine, Stanford University, Stanford, California, United States of America.Department of Medicine, Stanford University, Stanford, California, United States of America.Department of Medicine, Stanford University, Stanford, California, United States of America.Department of Medicine, Stanford University, Stanford, California, United States of America.

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

30726208

Citation

Wang, Jason K., et al. "Characterizing Electronic Health Record Usage Patterns of Inpatient Medicine Residents Using Event Log Data." PloS One, vol. 14, no. 2, 2019, pp. e0205379.
Wang JK, Ouyang D, Hom J, et al. Characterizing electronic health record usage patterns of inpatient medicine residents using event log data. PLoS ONE. 2019;14(2):e0205379.
Wang, J. K., Ouyang, D., Hom, J., Chi, J., & Chen, J. H. (2019). Characterizing electronic health record usage patterns of inpatient medicine residents using event log data. PloS One, 14(2), e0205379. https://doi.org/10.1371/journal.pone.0205379
Wang JK, et al. Characterizing Electronic Health Record Usage Patterns of Inpatient Medicine Residents Using Event Log Data. PLoS ONE. 2019;14(2):e0205379. PubMed PMID: 30726208.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Characterizing electronic health record usage patterns of inpatient medicine residents using event log data. AU - Wang,Jason K, AU - Ouyang,David, AU - Hom,Jason, AU - Chi,Jeffrey, AU - Chen,Jonathan H, Y1 - 2019/02/06/ PY - 2018/09/13/received PY - 2019/01/19/accepted PY - 2019/2/7/entrez PY - 2019/2/7/pubmed PY - 2019/11/13/medline SP - e0205379 EP - e0205379 JF - PloS one JO - PLoS ONE VL - 14 IS - 2 N2 - Amid growing rates of burnout, physicians report increasing electronic health record (EHR) usage alongside decreasing clinical facetime with patients. There exists a pressing need to improve physician-computer-patient interactions by streamlining EHR workflow. To identify interventions to improve EHR design and usage, we systematically characterize EHR activity among internal medicine residents at a tertiary academic hospital across various inpatient rotations and roles from June 2013 to November 2016. Logged EHR timestamps were extracted from Stanford Hospital's EHR system (Epic) and cross-referenced against resident rotation schedules. We tracked the quantity of EHR logs across 24-hour cycles to reveal daily usage patterns. In addition, we decomposed daily EHR time into time spent on specific EHR actions (e.g. chart review, note entry and review, results review).In examining 24-hour usage cycles from general medicine day and night team rotations, we identified a prominent trend in which night team activity promptly ceased at the shift's end, while day team activity tended to linger post-shift. Across all rotations and roles, residents spent on average 5.38 hours (standard deviation = 2.07) using the EHR. PGY1 (post-graduate year one) interns and PGY2+ residents spent on average 2.4 and 4.1 times the number of EHR hours on information review (chart, note, and results review) as information entry (note and order entry).Analysis of EHR event log data can enable medical educators and programs to develop more targeted interventions to improve physician-computer-patient interactions, centered on specific EHR actions. SN - 1932-6203 UR - https://www.unboundmedicine.com/medline/citation/30726208/Characterizing_electronic_health_record_usage_patterns_of_inpatient_medicine_residents_using_event_log_data_ L2 - http://dx.plos.org/10.1371/journal.pone.0205379 DB - PRIME DP - Unbound Medicine ER -