Using AI to help veterans avoid opioid-related deaths
Modeling Physiology and Behavior of Veterans to Avert Opioid Related Mortality Through Timely Intervention
This study is working on a smart computer program to help understand the needs of veterans who might be at risk for opioid addiction and overdose, so we can find those who need help sooner and improve their treatment.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Behaivior INC. NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project ID | NIH-11030838 on NIH RePORTER |
What this research studies
This research focuses on developing an artificial intelligence model to better understand the physiology and behavior of veterans at risk of opioid addiction and overdose. By analyzing various factors that contribute to opioid misuse, the project aims to identify veterans who may need timely interventions. The approach includes monitoring behaviors and access to care, ultimately seeking to improve treatment adherence and reduce the risk of overdose. The research is particularly relevant given the high rates of opioid-related issues among veterans, who often face unique challenges in accessing care.
Who could benefit from this research
Good fit: Ideal candidates for this research are veterans who are struggling with opioid use disorder or are at risk of opioid misuse.
Not a fit: Patients who are not veterans or those who do not have issues related to opioid use disorder may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce opioid-related mortality among veterans by providing timely interventions tailored to their specific needs.
How similar studies have performed: Other research has shown promise in using AI models to address addiction issues, indicating that this approach could be effective in improving outcomes for veterans.
Where this research is happening
Pittsburgh, United States
- Behaivior INC. — Pittsburgh, United States (Active)
Researchers
- Principal investigator: Gordon, Ellie — Behaivior INC.
- Study coordinator: Gordon, Ellie
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.