January Session: Risk and Strategy Issues Around AI Use-Risk and Strategy Issues Around AI Use

Video Transcription

Video Summary

The CMS AI/ML Task Force webinar discussed the rapid development and policy landscape of AI in healthcare, emphasizing the pivotal role of specialty societies. Chaired by leaders from the American College of Radiology and the AAFP, the task force examines AI's impact on research, clinical guidelines, IT, and education. Speakers Julie Barnes and Paige Kobza from Maverick Health Policy detailed recent healthcare conferences like CES and JP Morgan Health, highlighting government efforts to ease AI regulations, promote interoperability, and modernize payment systems to reduce costs. Key themes include deregulation to accelerate market entry, technology integration, and payment reforms focused on outcomes rather than volume. The administration’s AI strategy prioritizes internal HHS AI use as a blueprint for broader healthcare innovation alongside investments in infrastructure and workforce upskilling. Policies such as the CMS Access Model and Rural Health Transformation Program aim to fund tech-enabled care models, while FDA guidance signals reduced clearance requirements for certain AI tools like wearables. Challenges like prior authorization automation and preventing fraud and waste through AI were also addressed. The conversation underscored the limited current regulation, the need for industry self-regulation, and the evolving role of physicians amid AI adoption. Future webinars will continue exploring AI’s impact on patient safety and medical education.

Keywords

AI in healthcare

CMS AI/ML Task Force

specialty societies

healthcare policy

AI regulation

payment reform

HHS AI strategy

FDA AI guidance

medical education