Adaptive Decision Support for Addiction Treatment: Testing a Care Tool for ED Doctors to Help Buprenorphine Use
Official title: Adaptive Decision Support for Addiction Treatment (ADAPT) Serial Randomized Testing for Usability, Round 3
Run by Yale University · NCT07793383 · Data updated 2026-11-12
We’re testing a refined decision-support tool in emergency departments to help doctors prescribe buprenorphine to adults with moderate to severe opioid use disorder.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 100 (estimated) |
| Sponsor | Yale University Academic / other |
| Locations | 3 sites (Guilford, Connecticut and 2 other locations) |
| Status | Recruiting |
| Started | August 17, 2026 |
| Main results expected | February 2027 |
| Study ends | February 2027 |
| Registry record updated | September 25, 2026 |
| Trial ID | NCT07793383 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults 18 years or older presenting to an emergency department with moderate to severe opioid use disorder who are not currently receiving medication for opioid use disorder.
✕Probably not a fit
Patients already on optimized, fully integrated CDS workflows or those not eligible for buprenorphine initiation may derive little to no benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This project uses a multiphase optimization strategy to iteratively refine the EMBED CDS interface and workflow in real-time ED settings. Five rapid-cycle rounds compare variations of alerts and CDS components to reduce user errors and disruption while increasing adoption. The aim is to improve how ED physicians follow standard care for initiating buprenorphine in eligible patients. The study progresses through optimization and a follow-up confirmatory phase comparing the optimized system to the original EMBED package. Participating sites are in Connecticut, led by Yale University with NIDA collaboration.
Why it matters
Potential benefit: If successful, ED physicians may more reliably follow standard care for initiating buprenorphine, potentially improving treatment access for people with opioid use disorder.
How similar studies have gone: Previous work on EMBED CDS and related decision-support approaches has shown improvements in clinician workflow and adherence to recommended care, though this serial testing is a novel optimization effort.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Emergency department patient * 18 years of age or older * Moderate to severe opioid use disorder Exclusion Criteria: * Under 18 years of age * Pregnant * Currently receiving medication for opioid use disorder
Where it's running
-
Yale New Haven Shoreline Medical Center
Guilford, Connecticut, United States Recruiting -
Yale New Haven Hospital- St. Raphael
New Haven, Connecticut, United States Recruiting -
Yale New Haven Hospital
New Haven, Connecticut, United States Recruiting
Study contacts
- Principal investigator: Edward Mel, MD, MHS — Yale University
- Study coordinator: Edward Melnick, MD, MHS
- Email: edward.melnick@yale.edu
- Phone: 203-785-4363
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Multi-Agent ADR Prediction with Human–Machine Decision Comparison
A real-world data study tests a collaborative AI model to forecast adverse drug reactions and compares its outputs with physicians to see if early warning signals can be improved.
-
Helping rural jails use medications for opioid use disorder better
This project tests a training program to help jail staff in rural areas start or expand medications for opioid use disorder and see if it improves public health outcomes.
-
Family-based therapy for women in specialty courts with opioid use and sex-trade involvement
A pilot test will see if an adapted, family-focused therapy can be feasibly added to specialty-court programs for women who use opioids and have sex-trade involvement.
-
Optimizing Pregnancy Care with Patient Navigation for Moms on Opioid Surgery?
We’re testing whether patient navigation helps pregnant Medicaid members with opioid (and possibly stimulant) use disorders stay in care, use available medications, and connect with services better than usual care.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.