Legislators urge VA to utilize AI in preventing veteran suicide

The role of artificial intelligence in healthcare is gaining attention, and the U.S. government has now explicitly encouraged its use to help reduce suicides among veterans. Recent fiscal year funding legislation for the Department of Veterans Affairs (VA) 2026 budget emphasizes incorporating innovative tools, including AI, to identify veterans at high risk of suicide.

Both the House and Senate approved separate versions of the VA funding package months ago, but the comprehensive appropriations bill only passed last week following the resolution of the government shutdown. President Trump signed the FY26 Military Construction and Veterans Affairs bill into law on November 12, allocating over $115 billion for veteran healthcare, including approximately $698 million dedicated to suicide prevention programs.

The VA has long struggled to lower veteran suicide rates. Reports indicate around 6,500 veterans die by suicide annually, roughly 17 per daya statistic that has remained largely unchanged since 2008, when $4.4 million was spent on suicide prevention. In recent years, the VA has increasingly turned to AI and machine learning to identify at-risk individuals.

With the new funding, the VA is positioned to expand its use of AI in combating veteran suicides. The House Appropriations Committee highlighted that, while current suicide prevention programs are effective, modern technology could further improve outcomes. The committee stated that AI and machine learning could enhance early detection and operational efficiency in veteran services.

Real-time data and omnichannel technologies are also emphasized. According to the committee, leveraging all government service delivery channels with predictive analytics can help identify at-risk veterans in real time, ensuring appropriate resources and interventions are deployed efficiently.

The Senate panel also recommended broader use of the REACH VET program, launched in 2017. This machine learning initiative scans veterans medical records to flag those in the top 0.1% of suicide risk. Updates now allow REACH VET to detect additional warning signs, including military sexual assault and spousal abuse, while removing race and ethnicity as indicators.

Collaborating with external agencies and nonprofit organizations, the VA encourages adoption of AI to reduce veteran suicides. Although AI cannot replace human interaction, it can assist in training responders for the Veteran Crisis Line. VA Press Secretary Pete Kasperowicz explained that AI tools integrated into clinical workflows provide real-time alerts to healthcare providers, enabling faster intervention.

The Senate report further emphasized expanding predictive data analytics to anticipate crises and support at-risk veterans. While concerns exist about AI replacing human workers, Kasperowicz reassured that AI will supplementnot replacelicensed therapists. It will aid in training, early intervention, peer connections, and overall support from VA staff.

Officials believe that as AI technology evolves, it will improve mental health research and enhance care strategies for veterans. Kasperowicz concluded, The VA plans to maximize all resources, including AI for suicide prevention, to enhance predictive models, increase collaboration with researchers, and develop tools that support providers in delivering personalized care to veterans.

Analysis: Expanding AI in Veteran Suicide Prevention

The recent FY26 Military Construction and Veterans Affairs bill marks a significant step in the integration of artificial intelligence into veteran healthcare. With over $115 billion allocated to veteran services, including nearly $698 million specifically for suicide prevention, the VA now has resources to expand its use of AI and machine learning tools to identify at-risk individuals more effectively.

Programs like REACH VET, which utilize machine learning to flag veterans in the highest risk categories, are now being enhanced to include additional risk indicators such as military sexual assault and spousal abuse, while removing race and ethnicity as predictive factors. The House Appropriations Committee noted that modern technology, including real-time data and omnichannel predictive analytics, can improve early detection and operational efficiency in suicide prevention.

VA officials emphasize that AI will supplement rather than replace human care. Tools integrated into clinical workflows provide real-time alerts, assist in training responders for the Veteran Crisis Line, and support personalized interventions. The goal is to combine predictive analytics with human expertise to ensure timely and targeted support for veterans at risk.

As AI capabilities evolve, the VA expects improved mental health research and enhanced strategies for veteran care. This approach aims to leverage all available resources, fostering collaboration between government, research institutions, and nonprofit organizations to reduce veteran suicides through more precise and proactive interventions.

Sources:

• Lawmakers to VA: Use AI to Help Prevent Veteran Suicide