Health System Performance


The Peterson-KFF Health System Tracker is an online hub monitoring how well the U.S. health system is operating through key quality and cost measures. Visit the Tracker →


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  • Can AI Break the “Measurement Paradigm?”

    Podcast

    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 (Still) Biased? 

    Podcast

    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.

  • The AI Arms Race in Administrative Health Care

    Podcast

    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…

  • AI: Show Me the Outcomes

    Podcast

    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…

  • FDA Regulation and the Dynamic Nature of AI

    Podcast

    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.

  • AI: To Regulate, or Not to Regulate?

    Podcast

    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.

  • Health System Dashboard

    Interactive

    The Peterson-KFF Health System Dashboard examines the U.S. health system's performance in four areas: access and affordability, health and well-being, health spending, and quality of care. Users can explore trends over time, as well as disparities and differences across demographic groups.

  • Charges for Emails with Doctors and other Healthcare Providers

    Issue Brief

    Patient-provider email messaging accelerated early in the COVID-19 pandemic as more patients sought medical care remotely, and the addition of billing codes for digital health services and subsequent changes in insurers’ payment policies have enabled providers to bill insurers and patients for messaging. This analysis examines the typical cost of patient-provider email messaging in 2020 and 2021 using private health insurance claims data. The typical cost for an email messaging claim was $39 in 2021,…

  • What is behind the recent slowdown in health spending?

    Feature

    This slideshow charts the recent slowdown in health spending in the United States and other industrialized nations. Some possible causes include economic factors and structural changes to the U.S. health system, such as higher cost sharing in private health insurance and lower payments to providers by Medicare and other public programs.