Artificial Intelligence for Emergency Care Triage—Much Promise, but Still Much to Learn

Summary

The article discusses the potential of Large Language Models (LLMs) to improve the efficiency and accuracy of triage in emergency departments by reducing biases in human triage. It highlights a study analyzing LLM performance in assigning triage acuity levels and examines the challenges and opportunities for integrating LLMs in clinical AI applications, emphasizing the need for further research before clinical implementation. The related tags include triage aspects in emergency care, telenursing, telehealth, and the integration of AI in mental health and emergency severity indexing.