Helping Veterans stay on medication for opioid addiction using health data

Data to Clinical Action: Using Predictive Analytics to Improve Care of Veterans with Opioid Use Disorder

NIH-funded research Central Arkansas Veterans Hlthcare Sys · NIH-11086153

This project uses VA health records and AI to predict which Veterans on medication for opioid use disorder might stop treatment so care teams can offer extra support.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionCentral Arkansas Veterans Hlthcare Sys NIH-funded
Lab location1 site (North Little Rock, United States)
Project IDNIH-11086153 on NIH RePORTER

What this research studies

You would be asked to allow researchers to use your VA health records and treatment history to build and test computer models that spot who is likely to discontinue medication for opioid use disorder. The team will apply big-data and machine-learning methods to monitor risk in near-real time during active treatment. When a Veteran's risk rises, the system could flag them for outreach or added services like peer support or extra follow-up. The work focuses on Veterans receiving MOUD through the VA, primarily within the Central Arkansas VA network.

Who could benefit from this research

Good fit: Veterans with opioid use disorder who are currently receiving or recently started medication for OUD (MOUD) through the VA are the main candidates for this work.

Not a fit: People not receiving care within the VA system, not on MOUD, or without sufficient VA health record data are unlikely to be helped by this project.

Why it matters

Potential benefit: If successful, this approach could help clinicians find Veterans at risk of stopping life-saving opioid treatment so they can provide timely support and reduce overdoses.

How similar studies have performed: Predictive analytics have successfully flagged at-risk patients in other healthcare areas, but using them specifically to prevent MOUD dropout in Veterans is relatively new with limited direct evidence so far.

Where this research is happening

North Little Rock, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.