Developing and Evaluating a Machine-Learning Opioid Overdose Prediction & Risk-Stratification Tool in Primary Care

Running, not enrolling · Not applicable

Conditions studied: Opiate Overdose, Opioid-Related Disorders, Narcotic-Related Disorders, Substance-related Disorders, Chemically-Induced Disorders, Mental Disorders

In brief

This clinical trial aims to evaluate the pilot implementation of a machine-learning (ML)-driven clinical decision support (CDS) tool designed to predict opioid overdose risk within the electronic health record (EHR) system at UF Health Internal Medicine and Family Medicine clinics in Gainesville, Florida. The study will use a pre- versus post-implementation design to compare outcomes within clinics, focusing on measures such as naloxone prescribing rates and opioid overdose occurrences. Researchers will also assess the usability, acceptability, and feasibility of the CDS tool through qualitative interviews with primary care clinicians (PCPs) in the participating clinics.

Key facts

Study ID

NCT06810076

Run by

University of Pittsburgh

People needed

674

Starts

2025-04-08

Expected to finish

2026-10-07

Last updated by the study team

2026-04-13

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• For PCP level outcomes assessment
• PCPs
• practicing in any of the 13 participating clinics (10 UF Health Family Medicine clinics and 3 UF Health Internal Medicine) in Gainesville, Florida.
• For patient level outcomes assessment:
• Inclusion criteria: Patients who seen in any of the 9 participating UF Health clinics who
• are aged ≥18 years
• received any opioid prescription in the past year prior to their clinic visit.
• are identified as being at elevated risk for overdose by the ML algorithm. Exclusion Criteria: Patients who
• had malignant cancer diagnosis or hospice care prior to study enrollment

Where it is running

• University of Florida Health Internal Medicine and Family Medicine — Gainesville, Florida, United States

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.