This paper is in the following e-collection/theme issue:

AI Language Models in Health Care (218) Clinical Information and Decision Making (1971) Clinical Informatics (1365) Decision Support for Health Professionals (1576) Machine Learning (2145) Tools, Programs and Algorithms (391) Methods and Instruments in Medical Informatics (203) Ontologies, Classifications, and Coding (335)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82026, first published .
Multi-Evidence Clinical Reasoning With Retrieval-Augmented Generation for Emergency Triage: Retrospective Evaluation Study

Multi-Evidence Clinical Reasoning With Retrieval-Augmented Generation for Emergency Triage: Retrospective Evaluation Study

Multi-Evidence Clinical Reasoning With Retrieval-Augmented Generation for Emergency Triage: Retrospective Evaluation Study

Authors of this article:

Hang Sheung Wong1 Author Orcid Image ;   Tsz Kwan Wong2 Author Orcid Image
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Hang Sheung Wong   1 , MBBS ;   Tsz Kwan Wong   2 , MBChB, MSc

1 Department of Accident & Emergency, Princess Margaret Hospital, Hong Kong (SAR), China (Hong Kong)

2 Department of Accident & Emergency, North Lantau Hospital, Hong Kong (SAR), China (Hong Kong)

Corresponding Author:

  • Hang Sheung Wong, MBBS
  • Department of Accident & Emergency
  • Princess Margaret Hospital
  • 2-10, Princess Margaret Hospital Road, Lai Chi Kok, Kowloon
  • Hong Kong (SAR)
  • China (Hong Kong)
  • Phone: 852 68716917
  • Email: hs.wong3@ha.org.hk