Back to search

Article

Comparing computable structured phenotype- versus large language model-identification of opioid use disorder using electronic health record data

2025-12-19

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Study Objective</h4> To compare a computable structured opioid use disorder (OUD) phenotype currently used to trigger emergency department (ED) clinical decision support (CDS) with a large language model (LLM) for OUD identification, using expert physician review as the reference standard. <h4>Methods</h4> We conducted a retrospective study of randomly sampled adult ED encounters (January...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a78addc2-a1cd-57af-8b95-03d2a2801d6f
DOI
10.64898/2025.12.17.25342510
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Comparing computable structured phenotype- versus large language model-identification of opioid use disorder using electronic health record dataDOI 10.64898/2025.12.17.25342510
Select a neighboring publication to make it the new centre.