pediatric triage

The pediatric triage tag on WindowsForum.com covers discussions about the application of large language models (LLMs) in pediatric emergency department triage. Recent content highlights a study showing that an LLM assessing de-identified pediatric emergency-department notes exhibited a bias toward ranking younger children as more urgent than older children, even when the older patient had higher acuity. This age-linked error is particularly concerning in triage scenarios where decisions about who should be seen first under scarcity are critical. The tag explores the implications of such AI-driven tools in healthcare settings, focusing on accuracy, bias, and the potential consequences for patient care.