The Department of Veterans Affairs (VA) is leveraging artificial intelligence, particularly through the REACH VET program launched in 2017, to address the high veteran suicide rate, with over 140,000 veterans dying by suicide since 2001, including 6,407 in 2022. REACH VET uses machine learning to analyze 61 variables in electronic health records to identify veterans in the top 0.1% of suicide risk, enabling targeted interventions. The program, initiated under former VA Secretary David Shulkin, has shown success in increasing treatment engagement and reducing suicide attempts, per a 2021 JAMA report. VA is also exploring other AI tools, such as natural language processing and models targeting specific risk factors like gun access and opioid use. However, challenges persist, including high caseloads for coordinators, varying support across facilities, and the fact that nearly half of veterans who die by suicide are not engaged with VA services. Despite increased funding, veteran suicide rates remain stubbornly high, particularly during the transition from military to civilian life. VA is updating REACH VET to include new risk factors and seeking improved transition processes, but systemic issues continue to hinder progress.
https://www.govexec.com/management/2025/07/inside-vas-yearslong-ai-effort-uncover-veterans-high-risk-suicide/406799/
