Implementation considerations for the adoption of artificial intelligence in the emergency department.

Journal: The American journal of emergency medicine
Published Date: May 24, 2024

Abstract

OBJECTIVE: Artificial intelligence (AI) has emerged as a potentially transformative force, particularly in the realm of emergency medicine (EM). The implementation of AI in emergency departments (ED) has the potential to improve patient care through various modalities. However, the implementation of AI in the ED presents unique challenges that influence its clinical adoption. This scoping review summarizes the current literature exploring the barriers and facilitators of the clinical implementation of AI in the ED.

Authors

  • R Cheng
    School of Medicine, Queen's University, Kingston, ON, Canada.
  • A Aggarwal
    School of Medicine, McMaster University, Hamilton, ON, Canada.
  • A Chakraborty
    Department of Emergency Medicine, Queen's University, Kingston, ON, Canada.
  • V Harish
    School of Medicine, University of Toronto, Toronto, ON, Canada.
  • M McGowan
    Department of Emergency Medicine, St Michael's Hospital, Toronto, ON, Canada.
  • A Roy
    Bracken Health Sciences Library, Queen's University, Kingston, ON, Canada.
  • A Szulewski
    Department of Emergency Medicine, Queen's University, Kingston, ON, Canada.
  • B Nolan
    Department of Emergency Medicine, St Michael's Hospital, Toronto, ON, Canada.. Electronic address: brodie.nolan@unityhealth.to.

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