Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)
Sponsor: University of Pittsburgh
Trial Details
| Condition | Opiate Overdose, Opioid-Related Disorders, Narcotic-Related Disorders, Substance-related Disorders, Chemically-Induced Disorders, Mental Disorders |
| Intervention | Machine Learning-Based Clinical Decision Support: Overdose Prevention Alert (OPA) Intervention |
| Phase | NA |
| Status | Active |
| Participants | 674 |
| Est. Completion | 7 Oct 2026 |
| Last Updated | 13 Apr 2026 |
Primary Outcome
Composite patient-level outcomes related to opioids; PCP's use feedback of the Overdose Prevention Alert (OPA)
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: 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
Trial Sites
Countries
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service