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

**Authors:** Jamaji C. Nwanaji-Enwerem, Tori F. Ehrhardt, Brittney Gordon, Hannah Meyer, Annemarie Cardell, Maurice Selby, Bradley A. Wallace, Matthew Gittinger, Jeffrey N. Siegelman

PMC · DOI: 10.3390/healthcare12060612 · Healthcare · 2024-03-08

## TL;DR

This study explores how shift scheduling software affects satisfaction and burnout among emergency medicine residents in the U.S.

## Contribution

The study provides insights into the use of scheduling software and its impact on resident and scheduler satisfaction.

## Key findings

- ShiftAdmin is the most commonly used scheduling software among U.S. EM residency programs.
- Manual scheduling is associated with lower satisfaction compared to software-based methods.
- AI technologies may help reduce administrative burdens and improve scheduling satisfaction.

## 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.

## Full-text entities

- **Diseases:** Burnout (MESH:D002055), EM (MESH:D004630)

## Full text

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## Figures

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## References

12 references — full list in the complete paper: https://tomesphere.com/paper/PMC10970494/full.md

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Source: https://tomesphere.com/paper/PMC10970494