Blood, Sweat & Data
This is the show for healthcare data professionals who want their work to actually matter. We go deep on data products, analytics engineering, and responsible AI with the people doing it for real.
Blood, Sweat & Data
Payal Patnaik: Beyond the AI Hype - A Practical Guide to LLM Implementation in Healthcare
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.