To amend the Public Health Service Act to ensure that medical students, medical residents, and medical faculty receive education and training in the deployment of artificial intelligence in the medical profession, and for other purposes.
Sponsored by
Rep. Barragán, Nanette Diaz [D-CA-44]
ID: B001300
Bill's Journey to Becoming a Law
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2. Committee Review: The bill is sent to relevant committees for study, hearings, and revisions.
3. Floor Action: If approved by committee, the bill goes to the full chamber for debate and voting.
4. Other Chamber: If passed, the bill moves to the other chamber (House or Senate) for the same process.
5. Conference: If both chambers pass different versions, a conference committee reconciles the differences.
6. Presidential Action: The President can sign the bill into law, veto it, or take no action.
7. Became Law: If signed (or if Congress overrides a veto), the bill becomes law!
Bill Summary
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Industry Impact
Which industries are materially affected by specific provisions in this bill. 4 helped.
- +AI & Cloud Infrastructureconfidence 0.90
Section 749E(c)(1)(A)-(E) and (f)(1) authorize grants for AI education and training in medical schools, including collaboration with computer science, data science, and related fields, which benefits AI and cloud infrastructure providers by expanding demand for their technologies and expertise.
- +Hospitals & Health Systemsconfidence 0.85
Section 749E(a) and (c)(1) provide grants to medical schools and residency sponsoring institutions (often affiliated with hospitals) for AI education and training, which supports hospitals and health systems by improving workforce readiness in AI deployment.
- +Medical Devicesconfidence 0.80
Section 749E(c)(1)(B) references integrating AI tools into clinical support and decision-making processes, which often involves AI-enabled medical devices, thus benefiting manufacturers through increased training and potential adoption.
- +Biotech & Researchconfidence 0.75
Section 749E(c)(1)(D) includes studying AI impact in medical ethics use cases, which may intersect with biotech applications like gene therapy or personalized medicine, indirectly supporting biotech research and innovation.