Clinical implementation of AI-based screening for risk for opioid use disorder in hospitalized adults.

ABSTRACT: Adults with opioid use disorder (OUD) are at increased risk for opioid-related complications and repeated hospital admissions. Routine screening for patients at risk for an OUD to prevent complications is not standard practice in many hospitals, leading to missed opportunities for intervention. The adoption of electronic health records (EHRs) and advancements in artificial intelligence (AI) offer a scalable approach to systematically identify at-risk patients for evidence-based care. This pre-post quasi-experimental study evaluated whether an AI-driven OUD screener embedded in the EHR was non-inferior to usual care in identifying patients for addiction medicine consultations, aiming to provide a similarly effective but more scalable alternative to human-led ad hoc consultations. The AI scr

SUBMITTER: Afshar M 

PROVIDER: S-EPMC12723583 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature