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Considering Burnout and Well-Being: Emergency Medicine Resident Shift Scheduling Platform and Satisfaction Insights from a Quality Improvement Project.
Nwanaji-Enwerem, Jamaji C; Ehrhardt, Tori F; Gordon, Brittney; Meyer, Hannah; Cardell, Annemarie; Selby, Maurice; Wallace, Bradley A; Gittinger, Matthew; Siegelman, Jeffrey N.
Afiliação
  • Nwanaji-Enwerem JC; Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA.
  • Ehrhardt TF; Gangarosa Department of Environmental Health, Emory Rollins School of Public Health, Atlanta, GA 30322, USA.
  • Gordon B; Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA.
  • Meyer H; Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA.
  • Cardell A; Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA.
  • Selby M; Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA.
  • Wallace BA; Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA.
  • Gittinger M; Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA.
  • Siegelman JN; Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA.
Healthcare (Basel) ; 12(6)2024 Mar 08.
Article em En | MEDLINE | ID: mdl-38540576
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos