In this episode, Hunter sits down with Payal Patnaik, former AI/ML Product Lead at One Medical, to cut through the AI hype and discuss what actually works when implementing LLM products in healthcare.
Topics we cover:
Why most "AI strategies" fail and how to start with the right problems instead of shiny objects
The three-pillar AI maturity model (Usage, UX, Platform) and where your organization fits
How to build clinician buy-in for AI tools without triggering replacement fears
Practical evaluation frameworks for ensuring LLM accuracy and safety
The 15 essential questions every value-based care data team should answer
Real lessons from launching 6 LLM services at One Medical within one year
Perfect for: Healthcare data leaders, product managers, executives exploring AI implementation, and anyone building tech solutions for clinical workflows.
Payal shares her journey from journalism and biomedical engineering to leading AI product development, plus insights on responsible AI use, the importance of breaking down complex reasoning tasks, and why LLMs are becoming the great equalizer in healthcare innovation.
Guest Bio: Payal Patnaik led AI/ML product management at One Medical (Amazon Health Services) and previously built data product organizations at Iora Health. She teaches "LLMs in Healthcare 101" and moonlights as a singer-songwriter in the Boston area.
