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Study identifier: NCT06806163 Synced from ClinicalTrials.gov · July 28, 2026
● Recruiting

Machine-Learning Prediction and Reducing Overdoses With EHR Nudges

Condition: Opioid Overdose · Opioid Use · Opioid Use Disorder  ·  Sponsor: University of Pittsburgh

PhaseNA
Planned participants1350
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersNo

About this study

The goal of this cluster randomized clinical trial is to test a clinician-targeted behavioral nudge intervention in the Electronic Health Record (EHR) for patients who are identified by a machine-learning based risk prediction model as having an elevated risk for an opioid overdose. The clinical trial will evaluate the effectiveness of providing a flag in the EHR to identify individuals at elevated risk with and without behavioral nudges/best practice alerts (BPAs) as compared to usual care by primary care clinicians. The primary goals of the study are to improve opioid prescribing safety and reduce overdose risk.

This description comes directly from the study's public registry record.

Talk to the study team

Lead Research Program Coordinator, CP3  ·  (412) 692-4889  ·  cp3@pitt.edu

Always discuss trial participation with your own doctor first.

Locations (1)

University of PittsburghPittsburgh, Pennsylvania, United StatesRecruiting

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Source record: clinicaltrials.gov/study/NCT06806163