ReviewJMIR medical informatics2024
Evaluating the Prevalence of Burnout Among Health Care Professionals Related to Electronic Health Record Use: Systematic Review and Meta-Analysis.
Review in JMIR medical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 6 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- The effect of virtual reality technology on the intervention of mental health problems among healthcare workers: a systematic review.Frontiers in public health · 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
- Evidence on artificial intelligence-assisted clinical documentation and healthcare workers' emotional wellbeing at work: a scoping review.Frontiers in psychology · 2026Pooled it
- Digital compassion fatigue and digital empathy in healthcare: mapping the evidence and informing a human-centered clinical framework.Frontiers in psychology · 2026Pooled it
- Clinical Implementation of Artificial Intelligence Scribes in Health Care: A Systematic Review.Applied clinical informatics · 2025Pooled it
- Artificial Intelligence (AI) - Powered Documentation Systems in Healthcare: A Systematic Review.Journal of medical systems · 2025Pooled it
- Effectiveness of shared meditation involving cancer patients, health professionals and third persons on well-being and psychosocial skills: a randomised study.BMC complementary medicine and therapies · 2026Trial
- The Influence of Artificial Intelligence Scribes on Clinician Experience and Efficiency among Pediatric Subspecialists: A Rapid, Randomized Quality Improvement Trial.Applied clinical informatics · 2025Trial
- The Experience of Shared Meditation Involving People With Cancer, Health Professionals and Third Persons: A Qualitative Focus-Group Study.Integrative cancer therapiesTrial
- Clinician Trust and Human Factors in AI-Enabled Clinical Decision Support in Acute Care: Mixed Methods Study.JMIR human factors · 2026Article
- The use of objective EHR-and schedule-based clinical workload and EHR use measures in predicting inpatient pediatric provider burnout.JAMIA open · 2026Article
- Occupational Stressors, Working Conditions and Self-Reported Mental Health Among Veterinarians in Germany: An Exploratory Cross-Sectional Survey.Healthcare (Basel, Switzerland) · 2026Article
- Artificial Intelligence in Clinical Nutrition: Current Uses, Challenges, and Opportunities.Nutrients · 2026Review
- Global Trends, Inequalities, and Citation Dynamics in Burnout Research Among Healthcare Professionals: A Bibliometric Analysis (1987-2024).Healthcare (Basel, Switzerland) · 2026Review
- Cognitive Safety in Personalised Mental Health Nursing: A Structured Debates Essay on Minimum Viable Data for Safer Decisions and Lower Burnout Risk.Journal of psychiatric and mental health nursing · 2026Article
- Data-Driven Healthy China Pathway: Evolution, Framework, and Global Implications of National Digital Health Strategic Planning.Journal of medical Internet research · 2026Article
- The ethics of listening walls: patient autonomy and consent in the age of ambient clinical AI.NPJ digital medicine · 2026Article
- Examining the state of telehealth for mental health and substance use care after the coronavirus disease 2019 pandemic: An integrative review.The Journal of international medical research · 2026Review
- Artificial Intelligence and Clinician Burnout in the United States: A Narrative Review.Cureus · 2026Review
- Effect of Generational Differences on the Quality of Anaesthesia Care: A Narrative Review.Cureus · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBurnout among health care professionals is a significant concern, with detrimental effects on health care service quality and patient outcomes. The use of the electronic health record (EHR) system has been identified as a significant contributor to burnout among health care professionals.
objectiveThis systematic review and meta-analysis aims to assess the prevalence of burnout among health care professionals associated with the use of the EHR system, thereby providing evidence to improve health information systems and develop strategies to measure and mitigate burnout.
methodsWe conducted a comprehensive search of the PubMed, Embase, and Web of Science databases for English-language peer-reviewed articles published between January 1, 2009, and December 31, 2022. Two independent reviewers applied inclusion and exclusion criteria, and study quality was assessed using the Joanna Briggs Institute checklist and the Newcastle-Ottawa Scale. Meta-analyses were performed using R (version 4.1.3; R Foundation for Statistical Computing), with EndNote X7 (Clarivate) for reference management.
resultsThe review included 32 cross-sectional studies and 5 case-control studies with a total of 66,556 participants, mainly physicians and registered nurses. The pooled prevalence of burnout among health care professionals in cross-sectional studies was 40.4% (95% CI 37.5%-43.2%). Case-control studies indicated a higher likelihood of burnout among health care professionals who spent more time on EHR-related tasks outside work (odds ratio 2.43, 95% CI 2.31-2.57).
conclusionsThe findings highlight the association between the increased use of the EHR system and burnout among health care professionals. Potential solutions include optimizing EHR systems, implementing automated dictation or note-taking, employing scribes to reduce documentation burden, and leveraging artificial intelligence to enhance EHR system efficiency and reduce the risk of burnout.
trial registrationPROSPERO International Prospective Register of Systematic Reviews CRD42021281173; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021281173.
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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.