ArticleJournal of the American Medical Informatics Association : JAMIA2019
Physician stress and burnout: the impact of health information technology.
Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 297 papers, 8 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Reducing Work-related Screen Time in Health Care Workers During Leisure Time
Emergency Medicine Practitioners Overall Well-being Enhancement With Ambient AI Scribes
Who cites it
297 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
- Impact of artificial intelligence on electronic health record-related burnouts among healthcare professionals: systematic review.Frontiers in public health · 2025Pooled it
- Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024Pooled it
- The impact of eHealth use on general practice workload in the pre-COVID-19 era: a systematic review.BMC health services research · 2024Pooled 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
- Factors associated with nurse well-being in relation to electronic health record use: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- A systematic review of contributing factors of and solutions to electronic health record-related impacts on physician well-being.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Exploring the relationship between electronic health records and provider burnout: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Reducing Work-Related Screen-Time in Healthcare Workers During Leisure Time (REDUCE SCREEN) - A Randomized Controlled Trial.Journal of medical systems · 2026Trial
- Effect of mobile application user interface improvements on minimum expected home visit coverage by community health workers in Mali: a randomised controlled trial.BMJ global health · 2021Trial
- Burden of Informal Medical Consultations via Digital Platforms Among Medical Students and Physicians: A Cross-Sectional Survey.Journal of general internal medicine · 2026Article
- Ambient AI Scribe Technology and Perceived Documentation Efficiency Among Surgeons: Cross-Sectional Study.JMIR medical informatics · 2026Article
- A Controlled Single-Speaker Evaluation of Ambient Voice Technologies' Speech-to-Text Function Using Narrated Surgical Case-Reports.Journal of medical systems · 2026Article
- Physicians' Complex Relationships With Health Information Technology and Burnout: Cross-Sectional Survey Study.JMIR human factors · 2026Article
- Optimizing Hip and Knee Arthroplasty Clinic Flow: A Prospective Evaluation of Artificial Intelligence Scribe Technology.Arthroplasty today · 2026Article
- Artificial Intelligence Scribes in Orthopaedic Surgery: A Narrative Review.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026Review
- Artificial Intelligence Scribes in Psychiatry Training.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026Article
- A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).Journal of the National Medical Association · 2026Review
- Evaluation of an AI Medical Scribe After 236,153 Notes Generated Across Care Levels in a European Health System: Mixed Methods Retrospective Observational Study.JMIR medical informatics · 2026Observational
- Can consumer wearables support outpatient health monitoring for patients with post-acute infection syndromes? A systematic umbrella review of accuracy, validity, and clinical utility data.PLOS digital health · 2026Article
237 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To quantify how stress related to use of health information technology (HIT) predicts burnout among physicians. Methods: All 4197 practicing physicians in Rhode Island were surveyed in 2017 on their HIT use. Our main outcome was self-reported burnout. The presence of HIT-related stress was defined by report of at least 1 of the following: poor/marginal time for documentation, moderately high/excessive time spent on the electronic health record (EHR) at home, and agreement that using an EHR adds to daily frustration. We used logistic regression to assess the association between each HIT-related stress measure and burnout, adjusting for respondent demographics, practice characteristics, and the other stress measures. Results: Of the 1792 physician respondents (43% response rate), 26% reported burnout. Among EHR users (91%), 70% reported HIT-related stress, with the highest prevalence in primary care-oriented specialties. After adjustment, physicians reporting poor/marginal time for documentation had 2.8 times the odds of burnout (95% CI: 2.0-4.1; P < .0001), compared to those reporting sufficient time. Physicians reporting moderately high/excessive time on EHRs at home had 1.9 times the odds of burnout (95% CI: 1.4-2.8; P < .0001), compared to those with minimal/no EHR use at home. Those who agreed that EHRs add to their daily frustration had 2.4 times the odds of burnout (95% CI: 1.6-3.7; P < .0001), compared to those who disagreed. Conclusion: HIT-related stress is measurable, common (about 70% among respondents), specialty-related, and independently predictive of burnout symptoms. Identifying HIT-specific factors associated with burnout may guide healthcare organizations seeking to measure and remediate burnout among their physicians and staff.
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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.