Data Driven Suicide Prevention and Outreach Act of 2026
Sponsored By: Representative Mackenzie, Ryan [R-PA-7]
Introduced
Summary
This bill would create a VA pilot grant program to fund development of AI-based predictive models to identify suicide risk among veterans. The pilot would be run through the VA Center for Innovation, would start within one year, and would end September 30, 2029.
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- Veterans and families: Would aim to give VA care teams better risk signals by combining clinical records with Veterans Benefits Administration data so providers can spot at-risk veterans sooner.
- Researchers and organizations: Would award grants to nonprofits, universities, and private research groups with AI, machine learning, and health data experience. The Secretary would select at least two recipients and may not pick two recipients in the same Veteran Integrated Services Network (VISN).
- VA system and clinicians: Would prioritize models that are explicable, interoperable, and clinically actionable and favor applicants located in areas with high veteran suicide rates or long mental health wait times. Grant recipients must ensure integration of benefits and clinical data and maintain secure data infrastructure while not being forced to transfer proprietary ownership.
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Bill Overview
Analyzed Economic Effects
1 provisions identified: 1 benefits, 0 costs, 0 mixed.
AI suicide risk grants for veterans
If enacted, the bill would require the Department of Veterans Affairs to set up a grant program through the VA Center for Innovation for Care and Payment. The Secretary would have to establish the program not later than one year after enactment. The program would be a pilot that ends on September 30, 2029. VA would award grants to eligible nonprofits, academic institutions, private research organizations, and similar groups to build AI models that predict suicide risk among veterans. The Secretary would select at least two grantees and could not pick more than one grantee from the same Veterans Integrated Services Network (VISN). Priority and selection factors would include geographic distribution, VHA facility complexity, veteran population density, proximity to VA facilities, collaboration experience, and ability to deploy at scale. Grantees would need to ensure models can integrate Veterans Benefits Administration records (including military service records) with Veterans Health Administration clinical data and agree to make models or findings available to the Secretary for VA-wide implementation and evaluation. Grantees would not be required to transfer ownership of models or proprietary technology. The bill would also define key terms such as "artificial intelligence," "veteran," "Veterans Crisis Line," and "VISN."
Sponsors & CoSponsors
Sponsor
Mackenzie, Ryan [R-PA-7]
PA • R
Cosponsors
Rep. Gottheimer, Josh [D-NJ-5]
NJ • D
Sponsored 4/23/2026
Roll Call Votes
No roll call votes available for this bill.
View on Congress.gov