The way in which Americans interact with the healthcare industry is changing. With AI and wearable devices, accompanied by growing skepticism of healthcare providers and the healthcare system, self-directed health care appears to be on the rise. This first episode in a series about self-directed care features a conversation with Heather Mosser, Vice President, Associate Head of U.S. Monitor, at Kantar, about. the changing healthcare landscape.

With the growth of AI comes concerns about fairness and bias in the development, training, and deployment of agentic AI systems in health care and pharma. This episode features an interview with an expert on algorithmic fairness and bias who conducts research on responsible AI – Dr. Kalinda Ukanwa, Assistant Professor of Marketing at University of California, Irvine. Dr. Ukanwa explains how bias can arise in AI tools and systems for health care, the conditions under which biases could be exacerbated in the use of these tools, and strategies for identifying and overcoming bias in agentic AI systems for health care and pharma.

In the second installment of this two-part series, Tableau’s Nate Nichols explores how agentic AI can enhance—not replace—clinicians by providing vital services for care teams, such as real-time transcription, EHR-integrated summaries, and smarter triage, that can free clinicians to focus on patients. The conversation covers patient-side benefits, barriers to adoption, practical first steps for pharma and health systems, and marketing in an agent-first world.