Purpose of Review <p>Emergency department (ED) triage prioritizes patient care based upon a patient’s presenting medical condition at the time of arrival. However, variability and errors in human triage can lead to mistakes. This review focuses upon recent evidence for the use of artificial intelligence (AI) in ED patient triage, including both current use and potential future applications.</p> Recent Findings <p>Emergency departments are increasingly exploring the use of AI to facilitate improved triage success in areas such as patient wait time, patient satisfaction, and the speed of care transition from the ED.</p> Summary <p> The use of AI algorithms is associated with higher triage accuracy when compared to triage by non-physician workers, particularly in the case of atypical patient presentations. Triage methods using this technology can help to decrease the time required to properly allocate patients to definitive care, further mitigating the effects of ED overcrowding. Although AI already shows great potential in this application, evidence remains limited.</p>

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Triage 2.0: Artificial Intelligence as a Lifeline for Overcrowded Emergency Departments

  • Parmida Abdoli,
  • Zachary Wojcik,
  • James Paxton

摘要

Purpose of Review

Emergency department (ED) triage prioritizes patient care based upon a patient’s presenting medical condition at the time of arrival. However, variability and errors in human triage can lead to mistakes. This review focuses upon recent evidence for the use of artificial intelligence (AI) in ED patient triage, including both current use and potential future applications.

Recent Findings

Emergency departments are increasingly exploring the use of AI to facilitate improved triage success in areas such as patient wait time, patient satisfaction, and the speed of care transition from the ED.

Summary

The use of AI algorithms is associated with higher triage accuracy when compared to triage by non-physician workers, particularly in the case of atypical patient presentations. Triage methods using this technology can help to decrease the time required to properly allocate patients to definitive care, further mitigating the effects of ED overcrowding. Although AI already shows great potential in this application, evidence remains limited.