Cited by 63Electronic Health Records SystemsHospital Admissions and OutcomesNursing Diagnosis and Documentation

Characterizing electronic health record usage patterns of inpatient medicine residents using event log data

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Wang, Jason K., Ouyang, David, Hom, Jason, Chi, Jeffrey, Chen, Jonathan H.·2019·PLOS ONE

Published version of a preprint

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.

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Authors
Wang, J. K., Ouyang, D., Hom, J., Chi, J., & Chen, J. H.
Affiliations
  • Stanford University (US)
  • Stanford Medicine (US)
Venue
PLOS ONE
Published
2019-02-06
Volume
14
Issue
2
Pages
e0205379
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2912878510
Cited by
63
References
3
Citations by year
2026: 6 · 2025: 5 · 2024: 4 · 2023: 9 · 2022: 9 · 2021: 9 · 2020: 15 · 2019: 5
FWCI
10.37
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Institutes of Health
  • National Institute of Environmental Health Sciences (K01ES026837)
  • National Center for Research Resources (UL1RR025744)
Topics
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Medicine › Emergency Medicine › Hospital Admissions and Outcomes
  • Health Sciences › Nursing › Issues, ethics and legal aspects › Nursing Diagnosis and Documentation
Keywords
electronic health records, internal medicine residents, physician burnout, event logs
MeSH terms
Academic Medical Centers, Humans, Inpatients, Internal Medicine, Internship and Residency, Practice Patterns, Physicians', Physicians, Time Factors, Photoperiod, Electronic Health Records, Tertiary Care Centers

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