The HEALTH AI Act would require the Secretary of Health and Human Services to establish a grant program to fund research on how generative AI can be used in health care. It authorizes grants to eligible entities to study these technologies and directs the Secretary to define what counts as permissible research.
The bill also signals priorities that should guide grant awards, including expanding AI adoption, investing in workforce development, reducing clinician burnout, and addressing disparities in health outcomes.
At a Glance
What It Does
The Secretary must establish a grant program within HHS to award grants to eligible entities for research on the use of generative AI in health care. It also defines the categories of permissible research and directs the Secretary to set funding priorities.
Who It Affects
Eligible entities include institutions of higher education, 501(c)(3) organizations, and government agencies at the federal, state, or local level, including American Indian Tribes. Researchers, clinicians, and health care organizations participating in funded studies are directly affected, with potential indirect effects on patients.
Why It Matters
This program formalizes federal support for evaluating how generative AI can improve health care delivery, administration, and equity, guiding future policy, standards, and implementation.
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What This Bill Actually Does
The HEALTH AI Act stands up a grant program within the Department of Health and Human Services to study how generative AI can be used in health care. Eligible recipients are colleges, universities, certain nonprofits, and government bodies at any level, including tribal entities.
The bill lists several areas the funded research may cover, from improving how clinicians capture notes and ask questions during visits to speeding up health care claims processing and enhancing patient services. It also directs the Secretary to prioritize projects that promote wider AI adoption, invest in the health care workforce, reduce burnout among clinicians, and close gaps in health outcomes for medically underserved populations.
The definitions section aligns key terms with established federal AI and health policy, ensuring researchers operate under recognized standards.
The Five Things You Need to Know
The bill creates a new HHS grant program to fund generative AI research in health care.
Eligible grant recipients include HEIs, 501(c)(3) organizations, and certain government entities (federal, state, local, tribal).
Permissible research covers clinical documentation, reducing admin burden, expediting claims, improving patient service, and other health-care improvements.
Priority topics emphasize AI adoption, workforce development, burnout reduction, health equity, and access for medically underserved populations.
Key terms align with the National AI Initiative Act and Public Health Service Act definitions to guide research and populations served.
Section-by-Section Breakdown
Every bill we cover gets an analysis of its key sections.
Grant program established
The Secretary of Health and Human Services must establish a grant program to award grants to eligible entities for research on the use of generative AI in health care. This creates a formal federal funding mechanism to support academic, nonprofit, and government-led investigations into AI-enabled health care delivery and administration.
Permissible research activities
Research funded under the program may include studies on improving clinicians’ ability to record comprehensive notes and ask medically relevant questions during patient encounters; reducing administrative or documentation burdens; expediting health care claims processing; and enhancing customer service in the health care sector. The Secretary may authorize additional health-care improvements identified as appropriate during grant administration.
Priority criteria
In awarding grants, the Secretary shall prioritize entities and projects that promote the adoption and deployment of generative AI across the health care sector, invest in workforce development for clinicians and administrators, mitigate clinician burnout, reduce gender, racial, and ethnic disparities in health outcomes, and improve access to care for medically underserved populations.
Definitions
Key terms include: artificial intelligence as defined in the National AI Initiative Act of 2020; eligible entity meaning a college or university, a 501(c)(3) organization, or a government agency at federal, state, local levels, or Indian Tribes; generative artificial intelligence defined as AI that, in response to a prompt, produces text, media, code, or other content; medically underserved population defined as in section 330(b) of the Public Health Service Act; and Secretary meaning the Secretary of Health and Human Services.
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Explore Healthcare in Codify Search →Who Benefits and Who Bears the Cost
Every bill creates winners and losers. Here's who stands to gain and who bears the cost.
Who Benefits
- Academic health centers and universities receive grant funding to study AI applications in clinical care and administration.
- 501(c)(3) research organizations focused on health care gain access to federal funding for AI research.
- Federal, state, and local health agencies obtain evidence to inform policy and program design.
- Clinicians and health-system leaders benefit from research aimed at reducing burnout and administrative burdens.
- Medically underserved populations stand to benefit from research prioritizing access and equity in care.
Who Bears the Cost
- The federal government bears the cost of funding the grants through the HHS budget.
- Recipient institutions incur administrative and compliance costs associated with grant management and reporting.
- HHS must allocate resources to administer the grant program, review proposals, and monitor research activities.
- Researchers and affiliated institutions may face increased data governance, privacy, and security costs as part of AI health research.
Key Issues
The Core Tension
Balancing the push to accelerate AI-enabled health care research with patient safety, privacy, and equity concerns is the bill’s central dilemma. Expanding AI research and adoption risks unintended biases, data governance challenges, and uneven implementation, while constraining the program could slow innovation and delay potential improvements in care.
The bill creates a federally funded research program but does not specify a funding level, which could affect the scale and duration of supported projects. There is also potential for overlap with other AI and health-data initiatives, which could create administrative duplication if not carefully coordinated.
Because the permissible research is broad and guided by the Secretary, the scope of funded activities could shift with evolving AI guidance and health policy priorities, raising questions about consistency and accountability across grantees.
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