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

被引:0
作者
Nwanaji-Enwerem, Jamaji C. [1 ,2 ]
Ehrhardt, Tori F. [1 ]
Gordon, Brittney [1 ]
Meyer, Hannah [1 ]
Cardell, Annemarie [1 ]
Selby, Maurice [1 ]
Wallace, Bradley A. [1 ]
Gittinger, Matthew [1 ]
Siegelman, Jeffrey N. [1 ]
机构
[1] Emory Univ, Sch Med, Dept Emergency Med, Atlanta, GA 30322 USA
[2] Emory Rollins Sch Publ Hlth, Gangarosa Dept Environm Hlth, Atlanta, GA 30322 USA
关键词
AI; wellness; ACGME; medical education; burnout; MedEd;
D O I
10.3390/healthcare12060612
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
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页数:8
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