ArticleJAMA network open2024
Electronic Health Record Usability, Satisfaction, and Burnout for Family Physicians.
Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- From interface to outcome: a 4I framework for AI-linked functionality in electronic health records.BMC medical informatics and decision making · 2026Pooled it
- Evidence on artificial intelligence-assisted clinical documentation and healthcare workers' emotional wellbeing at work: a scoping review.Frontiers in psychology · 2026Pooled it
- Electronic health records-related determinants of healthcare professionals' burnout and mitigation strategies: systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- User-Centered Evaluation of Healthcare Information System Utilization: A Cross-Sectional Study Integrating Acceptance Models.Health science reports · 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
- An Evaluation of AI-Generated Clinical Notes in the OpenNotes Era: A Thematic Analysis of Clinician Discourse.Journal of evaluation in clinical practice · 2026Article
- The Role of Behavioral Friction for Patients and Clinicians in a Text-Based Home Blood Pressure Monitoring Program: A Realist Evaluation.Research square · 2026Article
- A new era of efficiency: artificial intelligence scribes and the future of ophthalmology.Eye (London, England) · 2026Article
- Usability and Acceptance Testing of an Electronic Patient-Reported Outcome Symptom Monitoring System for People Receiving Immune Checkpoint Inhibitors: Mixed Methods Study.JMIR formative research · 2026Article
- Automated chain-of-thought evaluation framework for large language model-generated emergency department documentation: a simulation-based study.Clinical and experimental emergency medicine · 2026Article
- Impact of artificial intelligence and work digitalization on mental health and occupational well-being: a scoping review.Frontiers in public health · 2026Article
- Competition or Complementarity Among Telemedicine Tools in Ambulatory Care Practice: Cross-Sectional Analysis.JMIR medical informatics · 2025Article
- Artificial intelligence and physician burnout: A productivity paradox.Learning health systems · 2025Article
- Integrating PRISM with User-centered Design (PRISM+UCD): Designing clinical decision support for safe opioid prescribing.Research square · 2025Article
- Usability Challenges in Electronic Health Records: Impact on Documentation Burden and Clinical Workflow: A Scoping Review.Journal of evaluation in clinical practice · 2025Article
- EMR usability and patient safety: a national survey of physicians.NPJ digital medicine · 2025Article
- Evaluation of an Ambient Artificial Intelligence Documentation Platform for Clinicians.JAMA network open · 2025Article
- Analyzing Physician In Basket Burden and Efficiency Using K-Means Clustering.Applied clinical informatics · 2025Article
- Examining human-AI interaction in real-world healthcare beyond the laboratory.NPJ digital medicine · 2025Review
- From theory to practice - assessing translation of physical fitness research in the emergency department through machine learning and natural language processing.Journal of clinical and translational science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Electronic health record (EHR) work has been associated with decreased physician well-being. Understanding the association between EHR usability and physician satisfaction and burnout, and whether team and technology strategies moderate this association, is critical to informing efforts to address EHR-associated physician burnout. Objectives: To measure family physician satisfaction with their EHR and EHR usability across functions and evaluate the association of EHR usability with satisfaction and burnout, as well as the moderating association of 4 team and technology EHR efficiency strategies. Design, Setting, and Participants: This study uses data from a cross-sectional survey conducted from December 12, 2021, to October 17, 2022, of all family physicians seeking American Board of Family Medicine recertification in 2022. Exposure: Physicians perceived EHR usability across 6 domains, as well as adoption of 4 EHR efficiency strategies: scribes, support from other staff, templated text, and voice recognition or transcription. Main Outcomes and Measures: Physician EHR satisfaction and frequency of experiencing burnout measured with a single survey item ("I feel burned out from my work"), with answers ranging from "never" to "every day." Results: Of the 2067 physicians (1246 [60.3%] younger than 50 years; 1051 men [50.9%]; and 1729 [86.0%] practicing in an urban area) who responded to the survey, 562 (27.2%) were very satisfied and 775 (37.5%) were somewhat satisfied, while 346 (16.7%) were somewhat dissatisfied and 198 (9.6%) were very dissatisfied with their EHR. Readability of information had the highest usability, with 543 physicians (26.3%) rating it as excellent, while usefulness of alerts had the lowest usability, with 262 physicians (12.7%) rating it as excellent. In multivariable models, good or excellent usability for entering data (β = 0.09 [95% CI, 0.05-0.14]; P < .001), alignment with workflow processes (β = 0.11 [95% CI, 0.06-0.16]; P < .001), ease of finding information (β = 0.14 [95% CI, 0.09-0.19]; P < .001), and usefulness of alerts (β = 0.11 [95% CI, 0.06-0.16]; P < .001) were associated with physicians being very satisfied with their EHR. In addition, being very satisfied with the EHR was associated with reduced frequency of burnout (β = -0.64 [95% CI, -1.06 to -0.22]; P < .001). In moderation analysis, only physicians with highly usable EHRs saw improvements in satisfaction from adopting efficiency strategies. Conclusions and Relevance: In this survey study of physician EHR usability and satisfaction, approximately one-fourth of family physicians reported being very satisfied with their EHR, while another one-fourth reported being somewhat or very dissatisfied, a concerning finding amplified by the inverse association between EHR satisfaction and burnout. Electronic health record-based alerts had the lowest reported usability, suggesting EHR vendors should focus their efforts on improving alerts. Electronic health record efficiency strategies were broadly adopted, but only physicians with highly usable EHRs realized gains in EHR satisfaction from using these strategies, suggesting that EHR burden-reduction interventions are likely to have heterogenous associations across physicians with different EHRs.
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