HB6077, the Healthcare Education in AI Literacy Act (HEAL-AI Act), would amend the Public Health Service Act to establish a grant program to educate medical students, residents, and faculty in deploying artificial intelligence in medicine. The program would be administered by the Health Resources and Services Administration and would focus on competency-based education, data analysis, virtual simulations, and assessment to improve patient care.
Grants would be capped at $100,000 per year per recipient, with reporting requirements and a priority on expanding access to emerging AI technologies in underserved settings. The bill would also authorize annual funding of $1 million for 2026–2030 to support these activities and require public dissemination of educational materials funded by the grants.
At a Glance
What It Does
The bill adds Subpart III to title VII of the Public Health Service Act, creating a grant program to educate medical students, residents, and faculty in AI deployment in healthcare. It defines AI, education and training, and key medical education terms, and lays out fund usage parameters.
Who It Affects
Qualified medical schools and residency programs, their students and faculty, and the institutions that sponsor residency programs. It also involves HRSA and the broader health education ecosystem.
Why It Matters
As AI tools become more embedded in clinical care, formal education in AI literacy aims to reduce misapplication, bias, and privacy risk while improving patient outcomes and care quality.
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What This Bill Actually Does
The HEAL-AI Act would create a formal, federal grant program to embed AI literacy into medical education. It defines AI in the medical context and establishes what counts as education and training, including data analysis, virtual simulations, and competency-based assessment.
Grant funding would go to qualified medical schools or residency sponsoring institutions to build curricula and training for medical students, residents, and faculty on how AI is used for diagnostics, treatment recommendations, and predictive analytics, as well as the ethical, privacy, and governance issues that accompany AI tools. Grant use is constrained to education-related activities, with a 10% cap on administrative costs and a prohibition on funding publications in predatory journals.
Institutions must provide evaluations, share educational materials publicly, and report annually on progress and spending. The program seeks geographic diversity and prioritizes care to medically underserved communities, with collaboration across departments such as computer science and data science to develop and validate curricula.
The bill also authorizes $1,000,000 annually from 2026 through 2030 to fund these grants.
The Five Things You Need to Know
The bill creates a federal grant program under the Public Health Service Act to fund AI literacy education for medical students, residents, and faculty.
Eligible medical schools or residency sponsoring institutions may receive up to $100,000 per grant year.
Grants require assurances on reporting, collaboration across disciplines, and evaluation of program effectiveness, plus the sharing of educational tools publicly.
Funds may be used for AI training in diagnostics, decision support, ethics, privacy, and demonstrations, with a 10% cap on administrative costs and a ban on funding predatory journals.
Funding is authorized at $1 million per year for 2026-2030, with emphasis on geographic diversity and priority for medically underserved communities.
Section-by-Section Breakdown
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Purpose of Subpart III
This section states the purpose of the new Subpart III, establishing a program of grants administered by HRSA for the education and training of medical students, residents, and faculty in deploying artificial intelligence in the medical profession. It signals the federal aim to foster AI literacy as a core competency in medical education.
Definitions
This section defines key terms: AI in medicine, education and training, medical resident, medical student, qualified medical school, residency sponsoring institution, and Secretary. It creates a common vocabulary to govern the scope of the grant program and the expected educational outcomes, including competency-based training and assessment.
Grant Program to Support AI Literacy
This section establishes the grant program, authorizes eligibility, and outlines assurances required to receive funds. It specifies grant amounts (up to $100,000 per year per institution) and the need for reporting, multidisciplinary collaboration, and evaluation. It also sets priorities around access to emerging technologies and care for medically underserved communities, and it allows collaboration with external academic, nonprofit, government, or even for-profit entities.
Reporting Requirements and Materials Availability
This section requires annual reporting on program goals, expenditures, curricular integration, learner outcomes, and collaboration efforts. It also mandates public availability of funded educational materials within 30 days of reporting, ensuring transparency and enabling broader use of effective AI-education resources.
Authorization of Appropriations
This final substantive section authorizes $1,000,000 for each fiscal year from 2026 through 2030 to carry out the subpart, providing a predictable funding stream to support the grant program.
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Every bill creates winners and losers. Here's who stands to gain and who bears the cost.
Who Benefits
- Medical students will gain structured exposure to AI concepts, tools, and ethical considerations, improving readiness for AI-enabled care.
- Medical residents will acquire competencies in how to interpret and apply AI-derived insights during training and practice.
- Medical faculty and curriculum developers will have a funded path to integrate AI literacy into existing or new courses and assessments.
- Residency sponsoring institutions and medical schools can align curricula with emerging AI standards, potentially improving program appeal and outcomes.
- Hospitals and health systems serving medically underserved communities can benefit from clinicians trained to responsibly use AI in resource-limited settings.
Who Bears the Cost
- Academic institutions will incur direct costs to implement AI curricula, run evaluations, and participate in reporting requirements.
- Departmental administration and faculty time will be devoted to developing, delivering, and assessing AI education programs.
- The federal government bears the cost of program administration through HRSA and the annual appropriations.
- Taxpayers finance the grants and any administrative overhead needed to sustain the program.
Key Issues
The Core Tension
The central dilemma is balancing a finite federal grant program with a broad, rapidly evolving need for AI-literate clinicians. A high-level cap and limited funding could slow adoption or create inequities across institutions and regions, while a more generous, flexible approach could strain federal resources and oversight.
The HEAL-AI Act introduces a targeted, grant-based approach to AI literacy in medical education, but it raises practical questions. The annual cap of $100,000 per institution could limit the depth and breadth of curricula for larger programs or campuses with multiple training tracks.
The 10% cap on administrative costs may constrain program management and evaluation activities, especially for institutions that need robust assessment infrastructure. Requiring the public sharing of educational materials could raise concerns about intellectual property and competitiveness between institutions, even as it promotes broader access to best practices.
The geographic-diversity goal is commendable, but in practice it may favor institutions that are better resourced to apply for and administer grants, potentially leaving gaps in rural or smaller programs without adequate support to compete. Finally, the program relies on ongoing HRSA administration and interdepartmental collaboration, which may introduce bureaucratic hurdles or delays in scaling AI-education initiatives to meet evolving technologies.
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