ArticleJournal of the American Medical Informatics Association : JAMIA2021
Reducing electronic health record-related burnout in providers through a personalized efficiency improvement program.
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 23 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Interventions to Reduce Electronic Health Record-Related Burnout: A Systematic Review.Applied clinical informatics · 2024Pooled it
- Optimizing Resident Experience in Continuity Clinic: Recommendations for Internal Medicine Residency Training-A Report from the Society of General Internal Medicine (SGIM) and Association of Chiefs and Leaders of General Internal Medicine (ACLGIM) Hess Initiative Work Group on Learner Experience in Primary Care.Journal of general internal medicine · 2026Article
- Electronic Health Record Burnout in Surgery and Strategies to Improve Burnout: A Narrative Review.Cureus · 2025Review
- Review
- EHR Use in Inpatient Physicians: Patterns and Predictors.Applied clinical informatics · 2025Article
- Analyzing Physician In Basket Burden and Efficiency Using K-Means Clustering.Applied clinical informatics · 2025Article
- Taking a Team Approach: Keep Up with the EHR with a Training and Optimization Program.Applied clinical informatics · 2025Article
- Relationships Among Physician Vendor-Derived Proficiency Score, Gender, and Time in the Electronic Health Record.Family medicine · 2025Observational
- Protocol of randomized-controlled trial to examine the effectiveness of three different interventions to reduce healthcare provider burnout.BMC health services research · 2024Article
- Implementation and delivery of electronic health records training programs for nurses working in inpatient settings: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Accounting for taste: preferences mediate the relationship between documentation time and ambulatory physician burnout.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Accuracy, thoroughness, and quality of outpatient primary care documentation in the U.S. Department of Veterans Affairs.BMC primary care · 2024Observational
- Evaluating the Prevalence of Burnout Among Health Care Professionals Related to Electronic Health Record Use: Systematic Review and Meta-Analysis.JMIR medical informatics · 2024Review
- Effect of Tailored Coaching on Physicians' Electronic Health Record Proficiency and User Experience: A Randomized Crossover Study.Mayo Clinic proceedings. Digital health · 2023Article
- Documentation dynamics: Note composition, burden, and physician efficiency.Health services research · 2023Article
- Primary care physicians' electronic health record proficiency and efficiency behaviors and time interacting with electronic health records: a quantile regression analysis.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Virtual Sprint Outpatient Electronic Health Record Training and Optimization Effect on Provider Burnout.Applied clinical informatics · 2022Article
- Burnout in clinicians.Current problems in pediatric and adolescent health care · 2021Article
- Stress and Burnout Related to Electronic Health Record Use among Healthcare Providers during the COVID-19 Pandemic in Saudi Arabia: A Preliminary National Randomized Survey.Healthcare (Basel, Switzerland) · 2021Article
- Impact of Changes in EHR Use during COVID-19 on Physician Trainee Mental Health.Applied clinical informatics · 2021Article
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
objectiveTo give providers a better understanding of how to use the electronic health record (EHR), improve efficiency, and reduce burnout. MATERIALS AND
methodsAll ambulatory providers were offered at least 1 one-on-one session with an "optimizer" focusing on filling gaps in EHR knowledge and lack of customization. Success was measured using pre- and post-surveys that consisted of validated tools and homegrown questions. Only participants who returned both surveys were included in our calculations.
resultsOut of 1155 eligible providers, 1010 participated in optimization sessions. Pre-survey return rate was 90% (1034/1155) and post-survey was 54% (541/1010). 451 participants completed both surveys. After completing their optimization sessions, respondents reported a 26% improvement in mean knowledge of EHR functionality (P < .01), a 19% increase in the mean efficiency in the EHR (P < .01), and a 17% decrease in mean after-hours EHR usage (P < .01). Of the 401 providers asked to rate their burnout, 32% reported feelings of burnout in the pre-survey compared to 23% in the post-survey (P < .01). Providers were also likely to recommend colleagues participate in the program, with a Net Promoter Score of 41. DISCUSSION: It is possible to improve provider efficiency and feelings of burnout with a personalized optimization program. We ascribe these improvements to the one-on-one nature of our program which provides both training as well as addressing the feeling of isolation many providers feel after implementation.
conclusionIt is possible to reduce burnout in ambulatory providers with personalized retraining designed to improve efficiency and knowledge of the EHR.
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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.