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Across the tech industry, many of AI's own leaders are calling for oversight — self-imposed or from government. That debate is on, but where it will land is anyone's guess. Joe Grogan takes a different tack: the biggest threat in health care AI may not be too little regulation, but the wrong kind.
Dr. Brian Miller has seen medical technology regulation from every side — as a hospitalist, a former FDA official, and now an associate professor at Johns Hopkins University, where he leads a research group on market-driven approaches to FDA regulation and Medicare payment policy. In this episode, Chip talks with Miller about what happens when the FDA applies its 1976 medical device framework to AI — a technology that learns and changes.
At the close of every episode, Chip asks his guests the same question: ‘What keeps you up at night?’ In this highlights episode, we share intriguing responses on AI’s role in health care. From deepfakes and misinformation to bias and the risk of losing the human connection at the heart of care, these highlights capture some of the top issues today.
AI is racing into everyday medicine. The rules of the road are still being written. Dr. Michelle Mello of Stanford, professor at both the Law School and the School of Medicine, and co-leader of its Healthcare Ethical Assessment Lab for AI, joins Chip to address the questions that trail every advance this series has covered: who makes the rules, who ensures the technology gets it right — and who answers when it doesn't?
Caroline Pearson, executive director of the Peterson Health Technology Institute (PHTI) and the Peterson Center on Healthcare, joins Chip to discuss who really benefits as AI moves into health care's back office. A quiet arms race is underway — providers deploying AI to code, bill, and capture revenue and insurers deploying it right back to review, deny, and hold the line. The open question is whether any of this lowers what the country actually spends…
As an increasing share of older adults have adopted digital health technologies over the past several years, and with most expressing interest in using them to manage their health care, the Centers for Medicare & Medicaid Services (CMS) has introduced several initiatives to expand the use of digital health technologies in Medicare. This brief summarizes these initiatives and draws on data from various surveys, including KFF Tracking Polls from September 2025 and March 2026, to…
In a conversation focused on the technology underlying AI in health care, Chip is joined by Seema Verma, former administrator of the Centers for Medicare & Medicaid Services (CMS), and now Executive Vice President and General Manager at Oracle Health and Life Sciences, the second largest electronic health records (EHR) platform in the U.S. Seema shares her insights on the evolution of EHRs and why it’s necessary to redesign these systems to better integrate AI capabilities and improve the quality of care.
Chip talks with Dr. Toyin Ajayi, co-founder and CEO of Cityblock Health, which delivers value-based care to more than 100,000 Medicaid and dual-eligible members across ten states, many of them people of color managing chronic conditions. Ajayi makes a pointed case: Roughly 60 percent of health care AI investment goes to billing, coding, and risk adjustment — making sure someone gets paid — while only a fraction goes to delivering care. If we continue to…
In this episode, Dr. Ziad Obermeyer joins Chip to talk about AI bias in patient management, including how far the health care industry has come since his groundbreaking research that revealed alarming biases in a widely used algorithm that underestimated the health needs of Black patients.
How can AI determine who gets matched to new therapies, who is identified for clinical trials, and how patient tracking is scaled across large populations? Chip is joined by Dr. A.J. Blood, a practicing cardiologist at Brigham and Women's Hospital and the co-founder and Chief Executive Officer of AIwithCare, a startup company that delivers AI-enabled solutions for research, clinical operations, and patient care. They discuss the role of AI in identifying patients for clinical trials…
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