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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…
This analysis uses the 2024 American Community Survey (ACS) to provide an overview of demographic and socioeconomic characteristics of the direct care workforce, including home health aides, personal care aides, and nursing assistants who work in nursing facilities, residential care facilities, home health, and settings that provide nonresidential services for older adults and younger adults with disabilities.
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…
This issue brief provides data on immigrants’ role in the U.S. health care workforce, including within key industries such as direct long-term care and the hospital workforce.
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…
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