Emergency Department Revisit Quality Review Screening: Exploring Human Decision-Making and Artificial Intelligence Support

The study examined how clinicians and GPT‑4 evaluate emergency department revisit pairs to determine if further assessment is needed. GPT‑4 over‑identified nearly all pairs as requiring follow‑up, while clinicians used clinical gravity and differential diagnosis factors. An algorithm using a knowledge graph populated by an LLM achieved high positive predictive value for identifying pairs that clinicians deemed warranting review.

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