VA launches AI-powered veteran suicide prevention research program

What it does

This bill directs the Department of Veterans Affairs to award grants to nonprofits, academic institutions, and research organizations to develop artificial intelligence models that predict suicide risk among veterans by analyzing health data. The VA will select at least two organizations over the next three years, prioritizing those in areas with high veteran suicide rates, long mental health wait times, and those with proven experience deploying predictive analytics in large health systems. Organizations keep ownership of their models but must make findings available to the VA for potential department-wide use.

Why we flagged it

The bill's core function is establishing a grant program for AI-driven suicide prevention research targeting veterans. It is a public health and research authorization, not a commemorative, appropriations, or deregulatory measure.

What the text implies

• The requirement that organizations 'make any predictive model or finding resulting from activities funded with a grant...available to Sec. for Department of Veterans Affairs-wide implementation' creates a pathway for VA to adopt and scale successful models across all VISNs, potentially improving suicide prevention nationally without additional appropriations.
• The bill does not specify funding amounts, leaving appropriations to future action—this may limit implementation scope if Congress does not provide sufficient resources.
• Prioritizing organizations in areas with 'high rate of calls to the Veterans Crisis Line' and 'long wait times for mental health care' may inadvertently concentrate resources in regions with existing capacity gaps, potentially widening disparities if not paired with mental health infrastructure investment.
• The rule of construction preserving proprietary ownership of models may create fragmentation if multiple organizations develop incompatible tools, complicating VA-wide deployment and interoperability.

Who it affects

Veterans and their families benefit from targeted suicide prevention tools developed through evidence-based research. The program addresses a documented public health crisis (veteran suicide) by funding innovation in predictive analytics, with safeguards requiring data security compliance and clinical actionability. The three-year sunset and requirement to share findings with the VA ensure accountability and potential broad benefit across the veteran population.

Who stands to gain

• nonprofit research organizations
• academic institutions
• private health data analytics firms
• AI/machine learning technology vendors

Named in the bill

Department of Veterans Affairs, Center for Innovation for Care and Payment, Veterans Health Administration, Veterans Benefits Administration, Veterans Crisis Line, Veteran Integrated Services Networks (VISN), Department of Defense, Centers for Medicare and Medicaid Services

Where it stands

1 cosponsor: 1 Democrats.

• Apr 23, 2026 — Introduced · Congress.gov: “Introduced in House”
• Apr 23, 2026 — Referred to House Committee on Veterans' Affairs · Congress.gov: “Referred to the House Committee on Veterans' Affairs”

Dates and quoted wording are Congress.gov's action record; the timeline shows status changes, not every procedural step.

Money around this bill

1 lobbying clients named this bill on 1 disclosure filings across 1 quarter, Jun 2026 to Jun 2026. Those filings disclosed $340,000 in lobbying spend. A filing names 104 bills on average, so that figure is what each filing reported, not a share belonging to this bill.

More lobbying clients named this bill than 0% of bills with at least one filing.

Ryan Mackenzie, the sponsor, reported $1,066,117 in PAC receipts in the 2026 cycle.

• American Psychological Association Services Inc.(fka American Psychological Assn — $340,000 on 1 filing

Lobbying Disclosure Act filings through Jul 16, 2026. A filing shows who paid to lobby on a bill it names, not what changed.