The report recommends several policy measures to help maximize the value of AI in healthcare:

Open and securely connect the world's medical data to speed up scientific discovery. Curing diseases increasingly depends on AI systems learning from large, diverse medical datasets, including genomics, medical imaging, clinical outcomes and real-world evidence.
Build infrastructure to solve healthcare's hardest problems and rapidly scale solutions. AI can help produce promising drugs, diagnostics and treatment strategies far faster than traditional research, but turning these ideas into real therapies still depends on physical infrastructure.
Support workers' transition into the healthcare professions that will be created and expanded by AI. AI-accelerated healthcare reshapes how work is done across research, clinical care and medical operations, creating new roles and expanding existing ones.
Clarify the regulatory pathway for AI medical devices for consumer use. AI medical devices have the capacity to address a broad range of medical issues for consumers, but as the FDA has acknowledged, the current medical device regulatory framework was not designed for AI.
Clarify the scope of medical device regulation to encourage innovation of AI services that support doctors. Currently, the FDA regulates as medical devices certain tools intended for use by physicians in their decision-making, and some of these tools are exempted by the 21st Century Cures Act, which predates AI solutions that can benefit providers today.

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60% of U.S. adults now use AI to navigate healthcare