C-DOSETaP: A Data-Driven System to Improve OUD Screening, Care, and Planning in Chicago
Official title: Chicago Data-driven OUD Screening, Engagement, Treatment and Planning (C-DOSETaP) System
Funded at University of Illinois at Chicago · NIH-11516006 · Data updated 2026-11-12
A data-driven tool helps UI Health identify and support people at risk for opioid use disorder so they can get prevention, treatment, and recovery help.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Illinois at Chicago NIH-funded |
| Lab location | 1 site (Chicago, UNITED STATES) |
| Project start | September 1, 2023 |
| Project end | May 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $1,129,495 |
| NIH project number | 4R33DA057629-02 |
| Project ID | NIH-11516006 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients at UI Health facilities who are at risk for or affected by opioid use disorder, including those with pain management needs and potential exposure to opioids.
✕Less likely to help
Individuals with no current risk factors for OUD or those not seeking or receiving related care may see minimal direct benefit.
What this research studies
This project uses machine learning and patient data from electronic health records, prescription data, and patient-reported measures to identify individuals at risk for opioid use disorder in Chicago’s UI Health system. The insights will guide clinicians to deliver timely care, connect patients with available resources, and inform community planning for better prevention and recovery support. The effort brings UI Health and UI Chicago together in a unified approach to reduce overdose deaths and OUD-related harm on the city’s westside. Participation may involve reviewing care recommendations and contributing data through routine clinical interactions.
Why it matters
Potential benefit: If successful, this project could lead to earlier identification, tailored treatment, and more effective use of community resources to reduce overdose deaths and improve recovery outcomes.
How similar studies have gone: Prior data-driven approaches in healthcare have shown promise in identifying at-risk individuals and guiding resource allocation, though application to OUD in this setting is progressing.
Where this research is happening
-
University of Illinois at Chicago
Chicago, United States Active
Researchers
- Principal investigator: Karnik, Niranjan Subhash — University of Illinois at Chicago
- Study coordinator: Karnik, Niranjan Subhash
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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.