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This brief describes current network adequacy and availability standards for Medicaid managed care plans, presents related findings from KFF’s 22nd annual Medicaid budget survey, and summarizes proposed changes to network adequacy and access rules in the Managed Care NPRM.
This background paper examines various aspects of the Medicaid program that can expand access to home and community-based services (HCBS) and rebalance long-term care spending in favor of HCBS. As a result of the long-standing requirement that states cover facility-based care, the majority of Medicaid long-term care (LTC) expenditures historically have been for institutional, rather than home and community-based, services. Over the past two decades, major efforts have been undertaken by states and the Centers…
The Patient Protection and Affordable Care Act aims to move the health care system away from an episodic, fee-for-service approach and towards a coordinated, preventive model of care delivery. Exactly how does the law encourage innovations in primary care? What roles will states and purchasers of care play in this transformation? This December 13 briefing, cosponsored the Alliance for Health Reform and The Commonwealth Fund, explored this and related questions. For more information, please visit…
Treating those with multiple chronic conditions, including the elderly and disabled populations, accounts for 30 percent of total U.S. health care spending. Half of this amount is spent by Medicare and Medicaid on behalf of beneficiaries eligible for both programs. This briefing, cosponsored by the Alliance for Health Reform and The Commonwealth Fund, looked at ways to improve the quality of care for the chronically ill while reducing the growth in spending for their 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…
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.
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…
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.
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.
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