Health Care AI

To harness the transformative power of health care AI through market-driven policies that accelerate life-saving innovations, fight waste, empower patients, and reduce costs, while deterring misregulation so that the technology delivers improved health outcomes for all Americans.

• Empowered individuals with good incentives and accurate information will make health care cheaper, better and more accessible. For this reason, individuals need better information on the potential and limitations of AI tools in order to leverage them profitably for personalized health decisions. Government rules that would interfere with those goals should be opposed.
• Free-market competition fosters AI breakthroughs, encouraging private sector investment in technologies that improve health outcomes, increase transparency, and drive down costs through innovation and scalability.
• AI policies must be advanced with rigorous data, clinical research, and real-world evidence so that those technologies that demonstrably enhance safety, equity, improved outcomes, and well-being can be promoted.
• Government failure to understand the fundamentals of AI can lead to poor policymaking that fails to address some of the more complex issues related to AI technology, such as “generalization” and “unpredictability.”  Policymakers must understand the basics of AI and why a risk-based, decentralized is the best path forward to complement existing oversight practices on the part of the FDA. The alternative, misregulation, will stifle AI adoption, entrepreneurship, and rapid deployment of beneficial tools.
• AI systems in health care should incorporate clear data practices, ethical standards, and measurable performance metrics to build trust among patients, providers, and innovators.

Goal 1: Educate policymakers on the fundamentals of AI and their implications for different regulatory approaches

• Explain how post-deployment factors such as clinical protocols and workflow can affect AI outcomes
• Illuminate what regulatory conditions are necessary for AI to empower patients, enhance public health program integrity, and improve health outcomes.
• Build consensus to advance market-oriented, decentralized policy solutions.
• Oppose regulations that impede safety and quality.
• Expose AI governance proposals that would impair America’s global leadership on health care AI.

Goal 2: Establish criteria and guidance for policymakers and administrators to eliminate waste, fraud, and abuse as well as enhance quality

• Identify ways that AI can be piloted in various health care contexts to demonstrate both cost reductions and improved patient outcomes (such as the AI proposal for the Department of Veterans Affairs).
• Advance proposals for adapting FDA medical device approval processes so that they are aligned with the technical characteristics of AI.
• Promote ways to reduce administrative burdens while preserving incentives for AI integration in Medicare and Medicaid programs.

Goal 3: Encourage ways that AI can re-introduce market forces and downward cost pressure within American health care

• Oppose rules that mandate physician labor in situations where health care AI can demonstrate safe and consistent performance in the absence of human assistance.
• Promote policy making that facilitates lower cost health care staff performing expanded services when AI can safely enable the practice.