triage-categorization

This paper explores using few-shot prompted LLMs for actionable triage categorization of online patient inquiries into self-care, schedule-visit, urgent-clinician-review, or emergency-referral. The best model (Claude Haiku 4.5 with 12-shot prompting) achieves macro-F1 of 0.475, surpassing supervised baselines, but the authors conclude that LLMs can support triage prioritization and selective human review, not autonomous deployment.