Faster, data-driven emergency care for opioid use disorder
Leveraging Data to Action: Accelerating Emergency Department OUD Care by Improving Data Access and Infrastructure
This project builds standardized, automated emergency-department data tools and dashboards to help hospitals spot overdoses and offer better care to people with opioid use disorder.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project ID | NIH-11184507 on NIH RePORTER |
What this research studies
If you go to the emergency department with opioid-related concerns, this project aims to make the hospital's records work better so your care team can find and act on overdose and treatment needs faster. The team will automate extraction of opioid-related information from ED electronic health records at participating hospitals and map it to a common OMOP data model so different sites can share and compare data. Algorithms will turn those records into research-ready datasets that flag important OUD events and treatments like buprenorphine. The project will also build site-facing and public dashboards so clinicians and communities can track overdose trends and improve prevention and follow-up care.
Who could benefit from this research
Good fit: People with opioid use disorder who are treated at participating emergency departments or whose medical records are included in the ED data registry would be most directly involved.
Not a fit: People who do not visit participating EDs, lack electronic records in the registry, or whose opioid issues are not documented in ED charts may not see direct benefits.
Why it matters
Potential benefit: If successful, EDs could identify overdoses sooner, increase use of buprenorphine and other evidence-based treatments, and reduce repeat overdoses and deaths.
How similar studies have performed: Data-driven improvements in emergency care for heart attack, stroke, and sepsis have shown benefits, but applying these systems specifically to opioid use disorder is relatively new.
Where this research is happening
New Haven, United States
- Yale University — New Haven, United States (Active)
Researchers
- Principal investigator: Venkatesh, Arjun Krishna — Yale University
- Study coordinator: Venkatesh, Arjun Krishna
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.