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Research Article: Considering Burnout and Well-Being: Emergency Medicine Resident Shift Scheduling Platform and Satisfaction Insights from a Quality Improvement Project

Date Published: 2024-03-08

Abstract:
Few studies explore emergency medicine (EM) residency shift scheduling software as a mechanism to reduce administrative demands and broader resident burnout. A local needs assessment demonstrated a learning curve for chief resident schedulers and several areas for improvement. In an institutional quality improvement project, we utilized an external online cross-sectional convenience sampling pilot survey of United States EM residency programs to collect information on manual versus software-based resident shift scheduling practices and associated scheduler and scheduler-perceived resident satisfaction. Our external survey response rate was 19/253 (8%), with all United States regions (i.e., northeast, southeast, midwest, west, and southwest) represented. Two programs (11%) reported manual scheduling without any software. ShiftAdmin was the most popularly reported scheduling software (53%). Although not statistically significant, manual scheduling had the lowest satisfaction score and programs with ?30 residents reported the highest levels of satisfaction. Our data suggest that improvements in existing software-based technologies are needed. Artificial intelligence technologies may prove useful for reducing administrative scheduling demands and optimizing resident scheduling satisfaction.

Introduction:
A recent survey employing the validated and widely used Maslach Burnout Inventory demonstrated that over 75% of emergency medicine resident physicians experience burnout—an occupational phenomenon defined by the World Health Organization as a syndrome “resulting from chronic workplace stress that has not been successfully managed” [1,2,3,4]. The etiology of burnout is multifactorial, but it is inherently both an occupational patient safety and physician wellness issue. Thus, efforts to address burnout should be a…

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