ArticleJournal of the American Medical Informatics Association : JAMIA2021
The impact of time spent on the electronic health record after work and of clerical work on burnout among clinical faculty.
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. It is linked to trial NCT06792890 (A Randomized Controlled Trial of Two Ambient Artificial Intelligence Scribe Technologies to Improve Documentation Efficiency and Reduce Physician Burnout), which is not on this map. Cited by 47 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Randomized Controlled Trial of Two Ambient Artificial Intelligence Scribe Technologies to Improve Documentation Efficiency and Reduce Physician Burnout
Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.
- Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024Pooled it
- Physicians' Complex Relationships With Health Information Technology and Burnout: Cross-Sectional Survey Study.JMIR human factors · 2026Article
- Large language model-generated clinical summaries in emergency departments: A blinded comparison study.PLOS digital health · 2026Article
- Factors Associated with Burnout, Low Professional Fulfillment, and Intention to Leave Among Biomedical Research Faculty.Journal of occupational and environmental medicine · 2026Article
- Eliminating Nonvalue-Added Tasks in Health Care: Artificial Intelligence in the Orthopedic Office.Journal of hand surgery global online · 2026Article
- Article
- After-Hours Use of the Electronic Health Record Among Medical and Surgical Specialists After Implementation of a System-Wide Integrated Clinical Information System in Alberta, Canada: Longitudinal Descriptive Study.Journal of medical Internet research · 2026Article
- Clinician Perceptions of Virtual Scribe Use: A Survey Study.Journal of general internal medicine · 2026Article
- Randomized Trial Protocol: Epic Generative AI Chart Summarization Tool to Reduce Ambulatory Provider Cognitive Task Load.medRxiv : the preprint server for health sciences · 2026Article
- Electronic health record use factors linked to efficiency and productivity: an explainable machine learning analysis.JAMIA open · 2026Article
- Work outside of work: after-hours use of the electronic medical record among residents at an academic veterinary teaching hospital.Frontiers in veterinary science · 2026Article
- Competition or Complementarity Among Telemedicine Tools in Ambulatory Care Practice: Cross-Sectional Analysis.JMIR medical informatics · 2025Article
- Article
- Qualitative Verification of Machine Learning-Based Burnout Predictors in Primary Care Physicians: An Exploratory Study.Applied clinical informatics · 2025Article
- A Randomized-Clinical Trial of Two Ambient Artificial Intelligence Scribes: Measuring Documentation Efficiency and Physician Burnout.medRxiv : the preprint server for health sciences · 2025Article
- Evaluating large language models for drafting emergency department encounter summaries.PLOS digital health · 2025Article
- Analyzing Physician In Basket Burden and Efficiency Using K-Means Clustering.Applied clinical informatics · 2025Article
- For AI in Primary Care, Start With the Problem.Annals of family medicine · 2025Article
- Team and Electronic Health Record Features and Burnout Among Family Physicians.JAMA network open · 2024Article
- Predicting Primary Care Physician Burnout From Electronic Health Record Use Measures.Mayo Clinic proceedings · 2024Observational
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify specific thresholds of daily electronic health record (EHR) time after work and daily clerical time burden associated with burnout in clinical faculty. MATERIALS AND
methodsWe administered an institution-wide survey to faculty in all departments at Mount Sinai Health System from November 2018 to February 2019. The Maslach Burnout Inventory and Mayo Well-Being Index assessed burnout. Demographics, possible confounding variables, and time spent on EHR work/clerical burden were assessed.
resultsOf 4156 eligible faculty members, 1781(42.9%) participated in the survey. After adjustment for background factors, EHR frustration (odds ratio [OR]=1.64-1.66), spending >90 minutes on EHR-outside the workday by self-report (OR = 1.41-1.90) and >1 hour of self-reported clerical work/day (OR = 1.39) were associated with burnout. Reporting that one's practice unloads clerical burden (OR = 0.50-0.66) and higher resilience scores (OR = 0.77-0.84) were negatively associated with burnout.Spending >90 minutes/day on EHR-outside work (OR = 0.66-0.67) and >60 minutes/day on clerical work (OR = 0.54-0.58) was associated with decreased likelihood of satisfactory work-life integration (WLI) and professional satisfaction (PS). Greater meaning in work was associated with an increased. LIKELIHOOD: of achieving WLI (OR = 2.51) and PS (OR = 21.67).
conclusionResults suggest there are thresholds of excessive time on the EHR-outside the workday (>90 minutes) and overall clerical tasks (>60 minutes), above which clinical faculty may be at increased risk for burnout, as well as reduced WLI and PS, independent of demographic characteristics and clinical work hours. These thresholds of EHR and clerical burden may inform interventions aimed at mitigating this burden to reduce physician burnout.
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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.