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09/09/26

Emergency department revisit quality review screening: exploring human decision-making and artificial intelligence support.

Handler, Jonathan A; Robles-Granda, Marlene I; Mefford, Jacob E; McGarvey, Jeremy S; Podolej, Gregory S; Klein, Colleen J; Dalstrom, Matthew D; Bond, William F. arXiv

Collection Topics
AI and Diagnosis Measurement, Monitoring, and Event Analysis
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Summary

Emergency department revisits can reveal missed opportunities for safer diagnosis, but reviewing every return visit is labor-intensive. This pre-print reports on an exploratory single-center study examining whether AI can help broaden quality-review screening. GPT-4 classified nearly all visits as requiring follow-up in contrast to clinicians reviewing the same visit information, raising concerns about over-triggering, while a preliminary knowledge-graph approach showed promise for focusing human review on potentially concerning cases.
Read the paper
Handler JA, Robles-Granda MI, Mefford JE et al. Emergency department revisit quality review screening: exploring human decision-making and artificial intelligence support. arXiv. Epub 2026 Sep 9.