Machine-Learning Prediction and Reducing Overdoses With EHR Nudges

This study is looking at new ways to help doctors prevent opioid overdoses. It's testing if a special flag in your electronic health record (EHR) can help. This flag would show if you're at a higher risk for an opioid overdose, based on a computer program. Doctors might see this flag, and some might also get extra tips, called "behavioral nudges," to help them make decisions about your care. The goal is to make opioid prescribing safer and lower the risk of overdose. You could be eligible if you're 18 or older, have received an opioid prescription in the last year, and have visited an internal medicine or family care doctor recently. The study is currently unclear on its recruitment status.

Study design
This is an interventional study involving about 1350 participants. It compares different approaches to clinician alerts within the electronic health record.
What's involved
Not specified in the trial record.
Compensation
Not stated in the trial record.
Follow-up
Your prescribing practices will be assessed for 4 months after your first primary care visit in the study.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT06806163

Machine-Learning Prediction and Reducing Overdoses With EHR Nudges

Recruiting
NAAges 18+InterventionalHealth services
University of Pittsburgh
~1,350 participants
Updated 2026-06-17 on ClinicalTrials.gov
What's tested:EHR-Embedded Elevated-Risk FlagEHR-Embedded Elevated-Risk Flag with Behavioral NudgesUsual Care

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Prescribing Practices Composite Score
Measured over Assessed at 4 months following study enrollment (i.e., at 4 months after the first encounter in the study period. An encounter refers to the 1st primary care visit for a patient enrolled in the study.)
Opioid Overdose
Opioid Use
Opioid Use Disorder
Opioids
1 sites across 1 states
Pennsylvania1
  • Walid F Gellad, MD, MPH · PRINCIPAL_INVESTIGATOR · University of Pittsburgh Center for Pharmaceutical Policy and Prescribing
Lead Research Program Coordinator, CP3
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Do you actually qualify for this trial?

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Eligibility criteria

Inclusion

Received an opioid prescription within the past year
Age 18 years or older at the time of the opioid prescription
At least one visit to an internal medicine or family care practice within the past year

Exclusion

Diagnosis of malignant cancer within the past year
Enrollment in hospice care
  • Prescribing Practices Composite ScoreAssessed at 4 months following study enrollment (i.e., at 4 months after the first encounter in the study period. An encounter refers to the 1st primary care visit for a patient enrolled in the study.)

    This outcome measures a composite of three prescribing practices associated with a reduced risk of opioid overdose. Each of the three is assigned a value of one point, with the composite score ranging from 0 to 3: 1. Naloxone prescription: Evidence of a prescription for naloxone. 2. Opioid dosage \< 50 morphine milligram equivalents (MME) per day: No prescriptions exceeding 50 MME/day during the measurement period. 3. No opioid and benzodiazepine overlap: No concurrent prescriptions for opioids and benzodiazepines. The composite score will be treated as a 3-point ordinal measure reflecting adherence to these prescribing practices.