ArticleJournal of medical Internet research2020
The Influence of Electronic Health Record Use on Physician Burnout: Cross-Sectional Survey.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 8 of them syntheses that pooled it.
What it found
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Who cites it
123 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- Electronic health records-related determinants of healthcare professionals' burnout and mitigation strategies: systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Examining the Role of Large Language Models in Orthopedics: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024Pooled it
- The role of information systems in emergency department decision-making-a literature review.Journal of the American Medical Informatics Association : JAMIA · 2024Pooled it
- The Impact of Digital Hospitals on Patient and Clinician Experience: Systematic Review and Qualitative Evidence Synthesis.Journal of medical Internet research · 2024Pooled it
- Adoption of electronic health record systems to enhance the quality of healthcare in low-income countries: a systematic review.BMJ health & care informatics · 2023Pooled it
- Physician Burnout and the Electronic Health Record Leading Up to and During the First Year of COVID-19: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Exploring the relationship between electronic health records and provider burnout: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- The STREAMLINE Pilot Study on Time Reduction and Efficiency in AI-Mediated Logging for Improved Note-Taking Experience.Applied clinical informatics · 2025Trial
- Addressing administrative burden in family medicine: a local quality improvement initiative.BMJ open quality · 2026Article
- Human factors methods for designing safe health information technology: what do the experts think?Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Optimizing generative artificial intelligence for clinical summarization: a blinded comparison study of automated versus human care planning synopses.JAMIA open · 2026Article
- Dot Phrase Utilization and Opioid Prescription at Discharge for Subarachnoid Hemorrhage Patients.The Neurohospitalist · 2026Article
- Why Have All the Doctors Gone? Insights Into Early Clinical Departure Among Physicians in the United States: A National Survey.The Permanente journal · 2026Article
- Beyond technology usefulness: Health system reliability, and socio-demographic and professional factors as shapers of technostress in physicians.PLOS digital health · 2026Article
- Implementation outcomes of AI documentation support in routine clinical practice: A non-randomized controlled trial.PLOS digital health · 2026Article
- The Interface of Artificial Intelligence and the Electronic Medical Record in Orthopaedic Surgery: Current Applications and Future Directions.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026Review
- Ambient AI Scribe Implementation in an Ambulatory Setting in a Single Medical Group: Prospective Study.JMIR medical informatics · 2026Article
- Optimizing clinical documentation in virtual hospitals: a task-technology fit perspective.JAMIA open · 2026Article
- Too burdened to benefit: job demands and the fading perceived usefulness of health IT.BMC health services research · 2026Article
63 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPhysician burnout has a direct impact on the delivery of high-quality health care, with health information technology tools such as electronic health records (EHRs) adding to the burden of practice inefficiencies.
objectiveThe aim of this study was to determine the extent of burnout among physicians and learners (residents and fellows); identify significant EHR-related contributors of physician burnout; and explore the differences between physicians and learners with regard to EHR-related factors such as time spent in EHR, documentation styles, proficiency, training, and perceived usefulness. In addition, the study aimed to address gaps in the EHR-related burnout research methodologies by determining physicians' patterns of EHR use through usage logs.
methodsThis study used a cross-sectional survey methodology and a review of administrative data for back-end log measures of survey respondents' EHR use, which was conducted at a large Canadian academic mental health hospital. Chi-square and Fisher exact tests were used to examine the association of EHR-related factors with general physician burnout. The survey was sent out to 474 individuals between May and June 2019, including physicians (n=407), residents (n=53), and fellows (n=14), and we measured physician burnout and perceptions of EHR stressors (along with demographic and practice characteristics).
resultsOur survey included 208 respondents, including physicians (n=176) and learners (n=32). The response rate was 43.2% for physicians (full-time: 156/208, 75.0%; part-time: 20/199, 10.1%), and 48% (32/67) for learners. A total of 25.6% (45/176) of practicing physicians and 19% (6/32) of learners reported having one or more symptoms of burnout, and 74.5% (155/208) of all respondents who reported burnout symptoms identified the EHR as a contributor. Lower satisfaction and higher frustration with the EHRs were significantly associated with perceptions of EHR contributing toward burnout. Physicians' and learners' experiences with the EHR, gathered through open-ended survey responses, identified challenges around the intuitiveness and usability of the technology as well as workflow issues. Metrics gathered from back-end usage logs demonstrated a 13.6-min overestimation in time spent on EHRs per patient and a 5.63-hour overestimation of after-hours EHR time, when compared with self-reported survey data.
conclusionsThis study suggests that the use of EHRs is a perceived contributor to physician burnout. There should be a focus on combating physician burnout by reducing the unnecessary administrative burdens of EHRs through efficient implementation of systems and effective postimplementation strategies.
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