ArticleJournal of the American Medical Informatics Association : JAMIA2021
Associations of physician burnout with organizational electronic health record support and after-hours charting.
Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.
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Who cites it
49 citing papers in PubMed, 2 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
- Interaction Time with Electronic Health Records: A Systematic Review.Applied clinical informatics · 2021Pooled it
- Physician Factors Associated With Burnout During System-Wide Electronic Health Record Implementation: A Prospective Repeated Cross-Sectional Study of Acute and Post-Acute Care Physicians.Journal of evaluation in clinical practice · 2026Article
- User Experiences of Electronic Controlled Substance Surveillance Among Health Care Professionals in a Large Academic Hospital: Cross-Sectional Survey.Journal of medical Internet research · 2026Article
- Impact of Emerging Technologies on Outpatient Care Quality: Mixed Methods Study.JMIR rehabilitation and assistive technologies · 2026Review
- Ambient AI Scribes and Emergency Department Documentation Burden: Retrospective Cohort Study.JMIR AI · 2026Article
- Predicting Electronic Health Record Usability: Scoping Review of Adoption Models, Metrics, and Future Directions.JMIR human factors · 2026Article
- Behavioral Phenotypes in Electronic Health Record Use by Primary Care Providers: a Cluster Analysis.Journal of general internal medicine · 2025Article
- Exploring the link between physician burnout and intentions to retire early.BMC public health · 2025Article
- Applications of Natural Language Processing in Otolaryngology: A Scoping Review.The Laryngoscope · 2025Article
- Article
- Qualitative Verification of Machine Learning-Based Burnout Predictors in Primary Care Physicians: An Exploratory Study.Applied clinical informatics · 2025Article
- Effect of a generative artificial intelligence digital scribe on pediatric provider documentation time, cognitive burden, and burnout.JAMIA open · 2025Article
- Analyzing Physician In Basket Burden and Efficiency Using K-Means Clustering.Applied clinical informatics · 2025Article
- Overcoming Challenges in Electronic Health Record Use in Inflammatory Bowel Disease Care.Gastroenterology & hepatology · 2025Article
- Emerging Domains for Measuring Health Care Delivery With Electronic Health Record Metadata.Journal of medical Internet research · 2025Review
- Effects of Aligning Residency Note Templates with CMS Evaluation and Management Documentation Requirements.Applied clinical informatics · 2025Article
- Electronic Health Record Use Patterns Among Well-Being Survey Responders and Nonresponders: Longitudinal Observational Study.JMIR medical informatics · 2025Observational
- A quality improvement initiative aimed at reducing service strain and improving physician wellness in internal medicine.BMC medical education · 2025Article
- Enhancing emergency department charting: Using Generative Pre-trained Transformer-4 (GPT-4) to identify laceration repairs.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In 2017, 43.9% of US physicians reported symptoms of burnout. Poor electronic health record (EHR) usability and time-consuming data entry contribute to burnout. However, less is known about how modifiable dimensions of EHR use relate to burnout and how these associations vary by medical specialty. Using the KLAS Arch Collaborative's large-scale nationwide physician (MD/DO) data, we used ordinal logistic regression to analyze associations between self-reported burnout and after-hours charting and organizational EHR support. We examined how these relationships differ by medical specialty, adjusting for confounders. Physicians reporting ≤ 5 hours weekly of after-hours charting were twice as likely to report lower burnout scores compared to those charting ≥6 hours (aOR: 2.43, 95% CI: 2.30, 2.57). Physicians who agree that their organization has done a great job with EHR implementation, training, and support (aOR: 2.14, 95% CI: 2.01, 2.28) were also twice as likely to report lower scores on the burnout survey question compared to those who disagree. Efforts to reduce after-hours charting and improve organizational EHR support could help address physician burnout.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.