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  • AI in Health Care: Who Gets Left Behind?

    Podcast

    Health care's AI future is being built right now. The open question is “for whom?” Dr. Uché Blackstock — emergency physician, former associate professor at NYU School of Medicine, founder and CEO of Advancing Health Equity, and author of The New York Times bestseller “Legacy: A Black Physician Reckons with Racism in Medicine” — joins host Chip Kahn to argue that AI governance should be shaped not only by regulators and review boards, but by…

  • State Health Facts

    Interactive

    More than 800 up-to-date health indicators at the state level can be mapped, ranked, and downloaded.

  • AI: Does Europe Have the Answer?

    Podcast

    When health systems are stressed, Martin McKee has been there taking notes. He's spent four decades studying collapse and recovery — the post-Soviet transition, the 2008 financial crisis, the COVID-19 pandemic. Now, as professor of European public health at the London School of Hygiene and Tropical Medicine and research director of the European Observatory on Health Systems and Policies, he's turned that lens on AI. He arrives at a charged moment: America is locked in…

  • How Is The Federal Government Counting Measles Deaths?

    Policy Watch

    Recently Secretary of HHS Robert F. Kennedy, Jr., changed how the federal government tracks deaths in its official measles tally, after Pennsylvania reported four deaths. This Policy Watch reviews the two roles, strengths, and weaknesses of the two public health surveillance systems at the center of this change: the Nationally Notifiable Diseases Surveillance System (NNDSS) and the National Vital Statistics System (NVSS).

  • What Should Health Care Do About AI’s Lack of Guardrails?

    Podcast

    In another concerning example of AI agents going rogue recently, an OpenAI agent hacked into an Australian government website containing health care data. While some industry CEOs are calling for a slowdown and demands for regulation grow, host Chip Kahn focuses on the implications for health care when these same kinds of AI systems are already at work in hospitals — in billing, in scheduling, and increasingly in decisions about patients.