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A report from Paragon Health Institute outlines a roadmap for healthcare AI policy aimed at the incoming Trump administration. The report emphasizes the potential cost savings and efficiency improvements that AI can bring to healthcare delivery. Author Kev Coleman plans to release a follow-up paper focusing on regulatory guidelines for AI in December.
Coleman advocates for a granular approach to AI regulation, suggesting that broad regulations could inadvertently impact other software technologies. He emphasizes the need for specific definitions and guidelines for various AI technologies, such as large language models and generative AI. The insights from this report are expected to influence the Trump administration's approach to healthcare AI policy.
• Paragon Health Institute's report serves as a roadmap for healthcare AI policy.
• Coleman emphasizes specific regulation for different AI technologies.
AI is discussed as a transformative technology in healthcare, promising cost savings and efficiency.
Generative AI is highlighted as a specific type of technology that requires tailored regulatory definitions.
Large language models are mentioned as a category of AI that needs precise regulatory language.
Paragon Health Institute is a think tank focused on healthcare policy, particularly in AI applications.
The FDA is expected to play a role in regulating AI technologies in healthcare.
CMS is involved in the discussion of AI's impact on Medicare and Medicaid services.
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