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Article

Implementation of an Opioid Use Disorder (OUD) Machine-Learning Phenotype in Real-Time for the ADAPT Project

2025-12-04

Abstract excerpt

<h4>Objective</h4> Develop and deploy a real-time, EHR-integrated machine learning phenotype to identify emergency department (ED) patients with opioid use disorder (OUD) for prospective clinical trial screening and buprenorphine initiation. <h4>Materials and Methods</h4> We conducted a multi-phase study across three EDs in a single United States health system from 2014 to 2025. Using visit-level data available...

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Literature Corpus work
9157087a-7967-5c76-80d5-7a929e68f843
DOI
10.64898/2025.12.02.25341524
Open publication

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Implementation of an Opioid Use Disorder (OUD) Machine-Learning Phenotype in Real-Time for the ADAPT ProjectDOI 10.64898/2025.12.02.25341524
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