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  • KFF Poll Shows Three in Ten Adults Turn to Social Media or AI for Health Information, with Lower-Income Adults More Likely to Cite Cost and Access Barriers as a Reason — The Monitor

    Feature

    The latest KFF Tracking Poll on Health Information and Trust finds roughly three in ten adults report turning to social media (31%) or AI chatbots (29%) at least monthly for health information and advice. The top reasons people report turning to social media for health advice are wanting to hear from those with similar experiences or a desire for quick information.

  • 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.

  • KFF Polling on Health Information and Trust

    Feature

    Drawing on KFF's poll findings, this interactive dashboard tracks the public’s trusted sources for health information, attitudes toward vaccines, and use of news, social media, and AI for health-related information. It provides visual representations of the key trends in the public’s trust in health information and tracks exposure to and belief in false and unproven health claims.

  • KFF Tracking Poll on Health Information and Trust: Use of Social Media and AI For Health Information and Advice

    Poll Finding

    This poll finds that about 3 in 10 adults turn to social media for health information and advice at least monthly. Community connection and the need for immediate answers are the top reasons why people are turning to these tools. Slim majorities of those who use social media for health are confident they can tell what is true, and relatively few take steps to check the information they receive.

  • 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 Better for Patients?

    Podcast

    Is AI Better for patients? What is changing on the ground? Chip talks with Dr. Patrick Conway, Chief Executive Officer of Optum, a health services and technology business under parent company, UnitedHealth Group. They discuss how to ensure the health care industry’s use of AI serves patients first, particularly when the same company bears financial risk and builds the AI that decides who gets care. They also discuss whether use of AI can make value-based…

  • 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.