Artificial Intelligence Solutions to Improve Emergency Department Wait Times: Living Systematic Review.

Journal: The Journal of emergency medicine
Published Date: Jun 10, 2025

Abstract

BACKGROUND: Overcrowding and long wait times in emergency departments (EDs) remain global challenges that negatively affect patient outcomes and staff satisfaction. As an emerging technology, artificial intelligence (AI) offers the potential to optimize ED operations and reduce wait times.

Authors

  • Bahareh Ahmadzadeh
    PhD Candidate in Clinical Epidemiology, Center for Rural Health Studies, Faculty of Medicine, Memorial University of Newfoundland, St John's, NL, Canada.
  • Christopher Patey
    Assistant Professor - Family & Emergency Medicine, Discipline of Family Medicine, Faculty of Medicine, Memorial University of Newfoundland, St John's, NL, Canada.
  • Paul Norman
    Director of Nursing Research, Carbonear Institute for Rural Reach and Innovation, Carbonear, NL, Canada.
  • Alison Farrell
    Public Services Librarian, Health Sciences Library, Memorial University Libraries, Memorial University of Newfoundland, St John's, NL, Canada.
  • John Knight
    Senior Epidemiologist - Data & Information Services, Quality & Learning Health Systems, NL Health Services, Adjunct Professor - Population Health & Applied Health Sciences, Faculty of Medicine, Memorial University of Newfoundland, St John's, NL, Canada.
  • Stephen Czarnuch
    Director - Centre for Artificial Intelligence, Memorial University, Associate Professor - Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Discipline of Emergency Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.
  • Shabnam Asghari
    Professor - Department of Family Medicine, Director - Center for Rural Health Studies, Faculty of Medicine, Memorial University of Newfoundland, St John's, NL, Canada. Electronic address: sasghari@mun.ca.

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