Technology is changing every few weeks in healthcare — and health system leaders are expected to keep up, upskill their entire workforce, govern AI responsibly, and still deliver measurable outcomes. That is the reality for Sha, CDIO at Baptist Health of South Florida.
In this episode, Jay sits down with Sha to share his unfiltered perspective on what it actually takes to lead digital transformation at scale — from the decision to go all-in on Epic without customization, to the data quality principles underpinning their AI strategy, to why agentic AI access control is still unsolved, and whether he would let a robot operate on him in five years.
Topics covered:
Leading technology transformation at Baptist Health of South Florida
Why technology is changing every few weeks and what that means for workforce upskilling
The two foundational priorities — AI literacy across the organization and robust governance
Why Baptist chose Epic and the principle of staying close to the foundation
Top use cases for generative and agentic AI — ambient listening, scheduling, imaging, clinical decision support
The three data challenges that determine AI success — quality, velocity, and security
Cybersecurity in healthcare — why built-in security beats bolted-on tools
⏱️ Timeline
0:00 — Introduction — Meet Sha CDIO at Baptist Health of South Florida
0:39 — The intensity and excitement of leading transformation at Baptist Health
1:05 — Technology is changing every few weeks — what that means for leaders
2:09 — Core principles for driving measurable outcomes in a fast-moving environment
2:40 — Infrastructure foundation upskilling and why quarterly training is already dead
3:38 — AI governance — non-deterministic by nature and not easy to implement
4:20 — Making sure all stakeholders are represented in the governance structure
4:50 — The challenge of AI adoption at scale — turning traditional workers into AI-enabled workers
5:55 — The Epic decision — choosing a foundation and sticking close to it
6:05 — Why Baptist selected Epic and the principle of minimal customization
7:07 — Using Epic’s best practice data to structure workflows faster and more stably
8:13 — Top AI use cases — ambient listening scheduling imaging and clinical decision support
9:42 — Automated workflows reducing patient wait times for urgent studies 1
0:35 — Provider burnout is real and clinical decision support is the next game changer
11:24 — The three data challenges — quality at the source velocity and security
12:45 — Five years of data investment that prepared Baptist for the current AI wave
13:10 — Healthcare is the most attacked vertical — the cybersecurity conversation
14:02 — Layered security prevention monitoring and the human element as the weakest link
14:54 — Resilience and business continuity beyond just security tooling
15:59 — Built-in security vs bolted-on security as agentic AI sprawls across systems
16:49 — Agentic AI expands the attack surface and access control is still not solved
17:17 — What happens when your workforce depends on agents that suddenly go down
17:52 — Three-year prediction — end-to-end workflow automation at a scale not yet appreciated
19:20 — Who captures the capacity freed by automation will define the next generation of healthcare
20:11 — Would you let a robot perform surgery on you in five years?
20:17 — Yes — and why LASIK proves the model for what comes next
21:31 — A message of gratitude to nurses physicians and every patient-facing provider
22:14 — Technology and IT exist only to support the people who actually deliver care
23:33 — Closing remarks — leaders drive the change and AI is there to enable better outcomes
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