Rep. Mackenzie Introduces Bipartisan Bill to Use AI for Veteran Suicide Prevention
This bill is currently in the early stages of the legislative process and is being reviewed by the House Committee on Veterans' Affairs. It was recently introduced and is considered active as it waits for further committee action. There are no upcoming votes scheduled at this time.
The bill has bipartisan support and addresses a major national issue, but many bills introduced in the House never make it through the full committee process.
Scores run from -100 (strongly harmful) to +100 (strongly beneficial) for each group, combining impact, certainty, scope, and duration ratings of 1-5. How impact scoring works
Veterans, especially those in areas with high suicide rates and long mental health wait times, could benefit from earlier identification of suicide risk. AI predictive models would allow VA clinicians to reach out proactively rather than waiting for a crisis, potentially saving lives. The program prioritizes regions where veterans are most underserved.
“the Secretary shall give priority for selection under paragraph (1) to eligible organizations-- (A) located in areas with-- (i) a high rate of suicide among veterans; (ii) a high rate of calls to the Veterans Crisis Line; and (iii) long wait times for mental health care services at Department facilities”
Referred to the House Committee on Veterans' Affairs.
Introduced in House
The bill was officially filed and given a number. It now enters the legislative queue.
No votes or related bills recorded for this bill yet.
Document Type
Congressional Bill
Official Title
Data Driven Suicide Prevention and Outreach Act of 2026
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