Episode summary
Healthcare is arguably the most data-rich industry on the planet, yet over 50% of clinical data remains completely unactionable due to legacy technical debt and siloed systems. In this episode, host Shawn Rosemarin sits down with Shammy Narayanan, VP of AI and Data at Welldoc, to explore the architectural shifts driving the booming era of clinical AI. Moving beyond basic predictive analytics, this deep dive explores how multimodal AI and digital twins are enabling personalized medicine at scale. We discuss the complexities of unifying fragmented IoT telemetry, the FDA's evolving stance on…
Chapters
- 00:00 — – Introduction: Entering the booming era of clinical AI
- 00:01:29 — – The Healthcare Data Dilemma: Why 50% of patient data remains trapped in silos
- 00:04:26 — – Technical Debt & IoT: Reconciling multiple sources of truth for patient vitals
- 00:08:14 — – 3 Stages of Clinical AI: Ambient scribes, multimodal AI, and agentic AI
- 00:12:15 — – Healthcare Digital Twins: Personalizing treatment for rare diseases and oncology
- 00:18:05 — – Regulatory Shifts: FDA compliance, PCCP, and explainable AI in diagnostics
- 00:24:34 — – 2029 Vision: Wearables, Meta Glasses, and the shift to event-driven patient care
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