KFF's The Business of Health with Chip Kahn

AI: Show Me the Outcomes

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 concentrate AI there, she warns, it will drive up cost without improving outcomes. She says there is a better way — AI built for care can lower costs by improving care for those hardest to reach. She and Chip discuss what that looks like and how Cityblock is using AI now to improve care and the patient experience for its members. ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

Is AI (Still) Biased?

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 discussion emphasizes that while AI can analyze data with remarkable precision, it is the context surrounding that data that ultimately determines its efficacy, usefulness, and fairness. Dr. Obermeyer is an emergency department physician, researcher, co-founder of Nightingale Open Science [https://docs.ngsci.org/access-data] and Dandelion [https://dandelionhealth.ai/], and associate professor at the UC Berkeley School of Public Health and the College of Computing, Data Science, and Society. ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

Bench to Bedside at AI Speed

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 and new therapies—which is typically a critical bottleneck in drug development—as well as how to ensure clinical trials are representative. Also, Dr. Blood shares insights from his extensive research background and the tool, RECTIFIER (RAG-Enabled Clinical Trial Infrastructure for Inclusion Exclusion Review), designed to enhance patient recruitment for clinical trials by efficiently sifting through complex medical data. ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

Can AI Break the “Measurement Paradigm?”

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 transparency, and accountability. David has spent his career at the center of this challenge and his research helped inform To Err Is Human: Building a Safer Health System, the landmark 1999 report by the U.S. Institute of Medicine that revealed the high frequency of preventable medical errors in health care. ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

Is AI Better for Patients?

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 care the dominant payment framework, after two decades of policymaker support for the model. ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.