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Article

Half of alcohol, drug, and self-harm presentations cannot be identified in coded emergency department data: a diagnostic accuracy study of a large language model

2026-08-31

Abstract excerpt

<h4>Objective: </h4> To measure the accuracy of clinical coding, clinician review, and a locally deployed large language model (LLM) in identifying alcohol, drug, and self-harm involvement in emergency department (ED) attendances, and quantify prevalence. Design Two-phase diagnostic accuracy study. In a validation week, the identification strategies were assessed against a conflict-adjudicated reference standard (...

Identifiers and source

Literature Corpus work
cbf8c4de-52a6-5e9e-b8cf-bac88105f957
DOI
10.64898/2026.08.26.26361443
Open publication

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Half of alcohol, drug, and self-harm presentations cannot be identified in coded emergency department data: a diagnostic accuracy study of a large language modelDOI 10.64898/2026.08.26.26361443
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