Healthcare Thought Leader & Visiting Research Fellow at the Paragon Health Institute, Kev Coleman, highlights key considerations to watch for AI healthcare policy under a Trump 2.0 administration.

To read more of Kev's research, please visit here.

Stay tuned for the Paragon consolidated AI page, and Kev's paper with Michael Penina from Duke University that will be announced at a later time.

For further insights, read Kev's paper "Healthcare AI Regulation: Guidelines for Maintaining Public Safety and Innovation", which can be found here.

This paper examines the main challenges of AI regulation in healthcare and the second part provides guidelines to help policymakers avoid misregulation.

Key Takeaways:

1. The key policy areas that must be addressed in AI healthcare policy are public safety and privacy while maintaining world leadership. AI healthcare policy will continue to evolve over the next two years.

2. AI healthcare places a greater reliance on data and post-market surveillance after approval. Implementing this new way of operating so that it does not restrict innovation and cause unnecessary costs is essential for the FDA to consider.

3. AI consists of various programming methodologies, each with different vulnerabilities depending on the context. Regulations must address subtypes of AI.

*Please note that this interview is informational and is not meant as an endorsement/support/advocacy.