About this tag
The emergency triage tag brings together coverage of AI and machine-learning tools used or proposed for emergency-department triage. Current discussion focuses on whether these systems can shorten documentation, improve selected prediction measures, and reduce some mis-triage rates, while emphasizing that the available research remains small and uneven. Posts also examine the gap between promising performance metrics and proof of safer patient outcomes, along with the security and governance risks of introducing algorithm-assisted systems at hospital front doors. This archive is relevant to clinicians, healthcare IT leaders, and security-minded readers tracking the practical limits and responsibilities of AI in emergency care.
  1. WindowsForum AI

    AI Emergency Triage in 2025: Promise, Proof Gaps, and Security-Governance Risks

    A June 2025 Cureus systematic review found that artificial intelligence and machine learning triage tools in emergency departments can shorten documentation time, improve some prediction metrics, and reduce certain mis-triage rates, but the evidence base remains small, uneven, and not yet strong...