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  • Network Adequacy Standards and Enforcement

    Issue Brief

    Health plan networks affect patient access to care. This brief reviews options for setting and enforcing network adequacy standards and tools for making differences in plan networks more transparent.

  • Outpatient Visits Are Growing More Complex: Implications for Health Costs

    Issue Brief

    This analysis for the Peterson-KFF Health System Tracker uses claims data from private, large employer-based plan to examine trends in complexity coding across outpatient practice settings from 2004 to 2021. It finds a trend toward higher complexity codes that contributes to higher outpatient spending.

  • AI: As Much Peril As Promise?

    Podcast

    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.

  • AI at Scale: Does It Deliver?

    Podcast

    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.

  • Bench to Bedside at AI Speed

    Podcast

    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…

  • 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…

  • The U.S. Has Fewer Physicians and Hospital Beds Per Capita Than Italy and Other Countries Overwhelmed by COVID-19

    News Release

    A new analysis and chart collection finds that the U.S. has fewer hospital beds and practicing physicians per capita than many similarly large and wealthy countries with health care systems already strained by the ongoing COVID-19 pandemic. Compared to Italy and Spain, two countries in which hospitals have already been overwhelmed by an influx of COVID-19 patients, the U.S. has fewer practicing physicians per capita - 2.6 per 1,000 people, compared to 4.0 in Italy…