Litcius/Paper detail

Association between state-level malpractice environment and clinician electronic health record (EHR) time

A Jay Holmgren, Lisa S. Rotenstein, N. Lance Downing, David W. Bates, Kevin A. Schulman

2022Journal of the American Medical Informatics Association19 citationsDOIOpen Access PDF

Abstract

OBJECTIVE: Clinicians spend significant time working in the electronic health record (EHR). The US is an outlier in EHR time, suggesting that EHR-related work may be driven in part by the legal environment and threat of malpractice. To assess this, we evaluate the association between state-level malpractice climate and clinician time spent in the EHR. MATERIALS AND METHODS: We use EHR metadata from 351 ambulatory care health systems in the United States using Epic from January-August 2019 combined with state-level data on malpractice incidence and payouts. We used descriptive statistics to measure variation in clinician EHR time, including total EHR time, documentation time per day, and after-hours EHR time per day. Multi-variable regression evaluated the association between clinicians in high malpractice states and EHR use. RESULTS: We found no association between location in a state in the top-quartile of malpractice payouts and time spent in the EHR per day, time spent in the EHR outside of scheduled hours, or time spent documenting per day, except for a subgroup of the clinicians in the highest malpractice specialties, where there was a small increase in EHR time per day (B = 6.08 min, P < 0.001) and time spent documenting notes (B = 2.77 min, P < 0.001). DISCUSSION: State-level differences in malpractice incidence are unlikely to be a significant driver of EHR work for most clinicians. CONCLUSION: Policymakers seeking to address EHR documentation burden should examine burden driven by other socio-technical demands on clinician time, such as billing or quality measurement.

Topics & Concepts

MedicineMalpracticeDocumentationElectronic health recordFamily medicineDescriptive statisticsMedical emergencyHealth careComputer scienceEconomicsEconomic growthPolitical scienceMathematicsProgramming languageStatisticsLawElectronic Health Records SystemsMedical Malpractice and Liability IssuesMedical Coding and Health Information