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Data Driven Suicide Prevention and Outreach Act of 2026

Last action · April 23, 2026: Referred to the House Committee on Veterans' Affairs.Sponsors: Ryan Mackenzie and 1 other

Introduced
Committee
Floor Vote
Passed
Law

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What This Bill Would Do

This bill directs the Department of Veterans Affairs (VA) to create a grant program for developing artificial intelligence models that predict suicide risk among veterans. Selected organizations will use AI to analyze health and service records to help improve mental health outcomes.

Why it matters

The bill mandates the creation of a new federal grant program by April 2027 to fund AI-driven suicide prevention tools, which will integrate military service records with clinical health data to identify veterans at risk.

Who It Would Affect

Groups the bill's text would affect if enacted, as described in the record. Being affected is not a position for or against it.

Directly affected

Veterans

Their health and service records will be used to develop predictive models intended to identify suicide risk.

Directly affected

Nonprofit and Research Organizations

These entities may apply for federal grants to develop AI-based predictive tools for the VA.

Directly affected

Department of Veterans Affairs

The agency is required to establish, manage, and implement the grant program and integrate the resulting models into its operations.

Key Facts

  • The Secretary of Veterans Affairs must establish a grant program for AI-based suicide risk predictive models within one year of the bill's enactment.
  • The program must select at least two eligible organizations to receive grants.
  • The Secretary is prohibited from selecting more than one organization per Veteran Integrated Services Network (VISN).
  • Grant recipients must integrate data from the Veterans Benefits Administration (including military service records) with clinical data from the Veterans Health Administration.
Show all 10 facts
  • Priority for grants is given to organizations in areas with high veteran suicide rates, high Veterans Crisis Line call volumes, and long mental health wait times.
  • Priority is also given to organizations with experience in government-owned health care systems and those employing data scientists, clinicians, and suicide prevention specialists.
  • Grant recipients must ensure their predictive models are explicable, interoperable, and clinically actionable.
  • The program authority terminates on September 30, 2029.
  • The bill does not require grant recipients to transfer ownership of their proprietary technology or predictive models to the VA.
  • Eligible organizations include nonprofits, academic institutions, and private research organizations with experience in AI, machine learning, and health data security.

Frequently Asked Questions

Will the VA own the AI models created by these organizations?
No. The bill explicitly states that organizations are not required to transfer ownership of their predictive models or proprietary technology to the Secretary of Veterans Affairs.
Who is eligible to apply for these grants?
Nonprofit entities, academic institutions, and private research organizations that have demonstrated experience in AI, machine learning, and handling complex, protected health data.
What data will these AI models use?
The models will integrate military service records from the Veterans Benefits Administration with clinical health data from the Veterans Health Administration.

What else do you want to know?

News Coverage

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Where This Stands

Currently in committee. The next step in the legislative lifecycle is Floor Vote.

Procedural history

2 actions
  1. Apr 23, 2026HouseCommittee
    Referred to the House Committee on Veterans' Affairs.
  2. Apr 23, 2026HouseIntroduced
    Introduced in House

Version history

Only one version on file - nothing to compare yet. As later stages (committee substitute, engrossed, enrolled) are captured, the redline appears here.

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Full breakdown

Who this bill affects and the strongest case for and against it, written only from the bill’s own text.

Sponsors

Discoveries

1 pattern noticed across the record

Patterns POLISCOPE noticed across the record. These are observations to investigate, not conclusions.

policy shift90% confidence

AI Integration in VA Health Care

The bill marks a formal legislative push to integrate AI predictive modeling into the VA's standard clinical and benefits-related operations.

Connected Entities

Mr. Gottheimer, Mr. Mackenzie, Department of Veterans Affairs
PersonMr. Gottheimer“Co-sponsor of the bill.”Map →
PersonMr. Mackenzie“Primary sponsor of the bill.”Map →
OrganizationDepartment of Veterans Affairs“The agency responsible for implementing the grant program.”Map →

Sources

Open source document

www.congress.gov

Analysis Score

0–100
  • Significance75
    How much this matters to a regular citizen
  • Controversy20
    Intensity of disagreement among stakeholders
  • Entertainment5
    Compellingness for a non-policy-wonk reader
  • Buzz40
    Current news / social attention level

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