Heat Emergency Assessment and Tracking using AI Act
Introduced June 11, 2026 · Last action June 11, 2026
Plain English Summary
This bill directs the Secretary of Health and Human Services to establish a pilot program using artificial intelligence to identify and track heat-related illnesses and deaths that are currently under-reported in medical records and death certificates. The program will award grants to 3-5 eligible entities (hospitals, health departments, research institutions) in diverse climates to develop AI tools, conduct surveillance, train clinicians, and develop heat response protocols, with a total authorization of $25 million over fiscal years 2027-2031.
Who benefits
Public health agencies and state/local health departments (surveillance capacity and federal funding); hospital systems and academic medical centers (grant funding for AI development and implementation); academic researchers and qualified research institutions (grant funding and access to de-identified medical data); AI software developers and vendors (market creation for heat-related AI tools); clinicians (standardized training and guidelines); communities in high-heat regions with historical under-reporting of heat deaths (improved mortality documentation and targeted interventions).
Who pays / loses
U.S. taxpayers (through $25 million appropriation over five years); entities not selected as grant recipients but who compete for limited pilot funding; private sector AI vendors who do not secure partnerships with grantees (limited market opportunity during pilot phase).
Fiscal note: $25,000,000 authorized for each of fiscal years 2027 through 2031 (five-year total of $125 million)
Funding & Lobbying Interests
The bill creates a new federal funding stream for hospital systems, academic medical centers, and health departments to develop AI surveillance tools. No sponsor finance data provided. Industries with financial stake include: AI/machine learning software vendors (development contracts); hospital and health system IT departments (implementation); coroner and medicolegal death investigation services (integration into AI tools); academic institutions with AI and public health research capacity. The bill's design implicitly supports entities already working in epidemiology, medical informatics, and public health emergency response, sectors that traditionally receive federal health research funding.
Political Impact
Affected Groups
Heat-exposed workers in outdoor occupations (construction, agriculture, landscaping) in high-temperature regions; low-income urban residents without air conditioning access; elderly populations (age 65+) at elevated heat vulnerability; residents of rural and underserved areas with limited air conditioning infrastructure and healthcare access; communities of color in urban heat islands historically experiencing higher heat-related mortality; occupational health professionals and coroners in pilot program regions.
Political Subtext
Proponents frame this as a public health modernization using AI to identify preventable deaths currently missed due to under-reporting and inconsistent medical coding. They cite climate change increasing heat severity and frequency as justification. Critics might argue: federal surveillance using AI raises data privacy concerns and scope creep risks; $125 million could be spent on direct heat mitigation (cooling centers, air conditioning assistance) rather than surveillance infrastructure; the bill assumes AI will improve accuracy without evidence that false negatives in heat death coding are preventing interventions. Non-partisan evidence shows heat-related mortality is indeed under-counted in official statistics (CDC, academic public health literature confirm coding limitations), but debate exists over whether surveillance improvements translate to mortality reduction without complementary prevention investment. The bill's requirement for an ethics board and HIPAA compliance suggests awareness of privacy concerns.
Real-World Stakes
If passed: 3-5 health systems will implement AI surveillance for heat-related illness over 5 years, generating standardized data on true heat mortality burden by 2031. This could lead to revised CDC mortality estimates and inform national heat response policy. If AI tools prove accurate and scalable, Congress could fund broader deployment nationwide. If AI tools show bias across demographic groups (a known risk in healthcare AI), the advisory board requirement may surface these before national rollout. Precedent: CDC's syndromic surveillance systems (ESSENCE, NEDSS) similarly use real-time health data to detect disease patterns; heat surveillance mirrors this public health infrastructure model. Arizona and California have conducted localized heat death surveillance projects documenting under-reporting by 2-3x in some counties, supporting the bill's premise. Unlike direct cooling assistance programs (e.g., LIHEAP), this bill invests in data infrastructure, not mitigation—outcomes depend on whether improved data drives policy and funding for prevention. Final report due 2031 will show whether surveillance alone reduced heat deaths or merely documented them.
Sponsor
Co-sponsors (1)
DRep. Stanton, Greg [D-AZ-4]
Vote Record
No recorded votes.
Campaign Finance — Primary Sponsor
Top contributing industries
Other$1,410,858.35
Finance$33,371.96
Energy$10,960
Retail$3,750
Healthcare$2,850
501(c)(4) disclosure: Contributions from 501(c)(4) "dark money" organizations are not required to be publicly disclosed and are not reflected in the figures above. Data sourced from FEC public disclosure filings.
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