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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…
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…
How do we know if AI use in health care actually makes patients better? Chip talks with Dr. David Bates — a veteran physician leader at Mass General Brigham and the Brigham and Women's Hospital and Co-director of the Center for Artificial Intelligence and Bioinformatics Learning Systems — about measuring patient outcomes reliably and in real time to create a strong foundation for everything else in health care administration — clinical deployment, payment reform, consumer…
Is AI Better for patients? What is changing on the ground? Chip talks with Dr. Patrick Conway, Chief Executive Officer of Optum, a health services and technology business under parent company, UnitedHealth Group. They discuss how to ensure the health care industry’s use of AI serves patients first, particularly when the same company bears financial risk and builds the AI that decides who gets care. They also discuss whether use of AI can make value-based…
How is AI applied to clinical care and hospital operations across a real health system at full scale? Chip Kahn talks to Dr. Michael Schlosser, Senior Vice President and Chief Transformation Officer at HCA Healthcare, about how AI is developed for everyday use, starting with careful testing and customization, with clinicians and nurses engaged from the very beginning as end users.
What does AI mean for patients in bed and doctors at the bedside? Host Chip Kahn and guest Dr. Robert Wachter, Chair of the Department of Medicine at the University of California, San Francisco, discuss whether AI will produce a different kind of doctor in the future — a “clinician curator rather than a clinician-diagnostician.” The answer could define the future of medicine and the doctor-patient relationship.
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