Relationship Between Clerical Burden and Characteristics of the Electronic Environment With Physician Burnout and Professional Satisfaction.
By Tait D. Shanafelt, Lotte N. Dyrbye, Christine A. Sinsky, Omar Hasan, Daniel V. Satele, J. Sloan, Colin P. West. Mayo Clinic proceedings, 2016
979 citations recorded by the source corpus.
Subfields: Emergency Medicine, General Health Professions, Health Information Management
View Paper: https://www.semanticscholar.org/paper/67629d8033eb0aaaf3f44fca3b61e7ff86e6baaf
How researchers see this paper
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In Emergency Medicine
In General Health Professions
- Tait D. Shanafelt
- Lotte N. Dyrbye
- Colin P. West
- Christine A. Sinsky
- J. Noseworthy
- Jay Bhatt
- A. Ommaya
- D. Meyers
In Health Information Management
Citations in the corpus
- Physician Burnout, Well-being, and Work Unit Safety Grades in Relationship to Reported Medical Errors (2018, neutral): “PARTICIPANTS AND METHODS We conducted a cross-sectional, national survey of US physicians between August 28, 2014, and October 6, 2014.(31) A detailed description of the survey administration process, participation rates, and demographic characteristics has been published previously.”
- Executive Leadership and Physician Well‐being: Nine Organizational Strategies to Promote Engagement and Reduce Burnout (2017, background): “In parallel, requirements for “meaningful use” of electronic health records have resulted in large capital expenditures and dramatically increased clerical burden for staff.(1,2) These financial challenges have, by and large, been addressed by increasing productivity expectations for physicians (ie,”
- Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations (2017, background): “There are a variety of solutions to address the many facets of physician burnout, 15 and developing organizational metrics that are specifically related to decreasing stress from EHR systems is critical.”
- Factors Related to Physician Burnout and Its Consequences: A Review (2018, background): “Although gender is not an independent predictor of burnout, after adjusting for age and other factors some studies have found female physicians to have 20%–60% increased odds of fatigue compared to men [7,9,13].”
- Artificial intelligence in medical education (2019, background): “The most common is that data capture interferes with normal health care workflow practice and procedures that specifically require direct eye contact between doctor and patient (Unger 2015; Gaither 2016; Sinsky et al. 2016; Shanafelt et al. 2016).”
- Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties (2016, neutral): “Correlations between increases in EHR task load and physician burnout and attrition have also been shown (7, 8).”
- Improving health literacy using the power of digital communications to achieve better health outcomes for patients and practitioners (2023, background): “For instance, a study by Shanafelt et al. (92) (95) highlight that healthcare professionals often struggle to manage the constant in fl ux of digital communication, leading to feelings of overload and a blurring of personal and professional boundaries.”
- Adapted large language models can outperform medical experts in clinical text summarization (2023, neutral): “The ensuing safety analysis highlights challenges faced by both LLMs and medical experts, as we connect errors to potential medical harm and categorize types of fabricated information.”
- Burnout Among Health Care Professionals: A Call to Explore and Address This Underrecognized Threat to Safe, High-Quality Care (2017, background): “Page 4 Published July 5, 2017 studies have found female physicians to have 30–60 percent increased odds of burnout [2,58,67].”