Machine learning models to detect opioid misuse in Emergency Department patients at triage.

2025-07-18 emergency medicine Title + abstract only

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ObjectiveEmergency department (ED) encounters represent valuable opportunities to initiate evidence-based treatments for patients with opioid misuse, but few receive such care. Universal manual screening has been proposed to improve patient identification but is uncommon due to its time and resource-intensive nature. We sought to determine the feasibility of identifying patients with opioid misuse at the time of ED triage using machine learning (ML). MethodsWe conducted a retrospective cohort s...

Machine learning models to detect opioid misuse in Emergency Department patients at triage.

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