Generative AI is making it possible to process unstructured clinical data at enterprise scale for the first time. HCA Healthcare's AVP of Data Science, Sara Liao-Troth, PhD, MBA, explains how her team is extracting intelligence from doctor's notes, nursing handoffs and free-text records that represent roughly 50% of HCA's patient data across 44 million annual encounters.

But the conversation takes a surprising turn when Sara reveals how she's rethinking team composition. Rather than relying solely on senior data scientists, she's pairing experienced practitioners with junior talent and interns who push generative AI tools to their limits precisely because they don't know the old way of doing things. The result: a spine surgery data extraction problem solved by an intern that now informs enterprise-wide benchmarking and supply chain decisions.

You'll learn how HCA approaches responsible AI in a zero-tolerance-for-hallucination environment, why Sara argues you just start experimenting with AI rather than planning your strategy, and how targeted teams can build internal capability to adapt as the technology keeps shifting.

This is episode two of our three-part series on AI as an operations force multiplier. Catch episode one: AI Didn't Replace These Workers — It Gave Them Their Mission Back | EP32

Book an Insight Prism workshop because you'll get a structured framework to identify where AI can create operational intelligence from your existing data: https://www.insight.com/en_US/what-we-do/methodology/insight-prism.html

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Chapters

• 00:00 — Welcome and introduction

• 00:47 — What is HCA Healthcare and Sara's role

• 03:17 — 50% of patient data trapped in free text

• 05:14 — How generative AI changes the patient experience

• 07:11 — Rethinking data science team composition

• 09:21 — Will AI eliminate data science roles

• 12:56 — Giving interns impossible problems to solve

• 14:29 — The spine surgery use case explained

• 17:57 — How to plan when AI keeps changing

• 19:55 — Responsible AI in healthcare

• 21:22 — One thing leaders should believe