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arXiv·Jonathan A. Handler·Sep 9, 2026, 4:37 PM

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

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

Papers68

Quality reviews for emergency department revisits frequently miss cases outside narrow 72-hour windows due to clinical review fatigue. In an exploratory evaluation of 99 diagnosis pairs from revisits within 1–14 days, baseline GPT-4 flagged 94% of cases for audit—far exceeding human clinicians. By channeling model outputs through a clinical knowledge graph algorithm, researchers achieved an 83–100% positive predictive value relative to physician consensus, demonstrating a viable way to expand review coverage without overwhelming hospital quality teams.

Why it's worth reading

It highlights the severe false-alarm fatigue raw LLMs cause in clinical auditing, offering an actionable knowledge-graph framework to keep triage workloads practical.

Tags

Healthcare AIEmergency MedicineQuality AssuranceKnowledge GraphGPT-4Clinical Decision Support

Score breakdown

  • Novelty68
  • Impact64
  • Practicality72
  • Credibility74
  • Timeliness65