Ingram Micro Ep#11 How a Major Health System Is Actually Delivering on the Promise of AI

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, Sha sits down 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 FloridaWhy technology is changing every few weeks and what that means for workforce upskillingThe two foundational priorities — AI literacy across the organization and robust governanceWhy Baptist chose Epic and the principle of staying close to the foundation⏱️ YouTube Timeline0:00 — Introduction — Meet Sha CDIO at Baptist Health of South Florida0:39 — The intensity and excitement of leading transformation at Baptist Health1:05 — Technology is changing every few weeks — what that means for leaders2:09 — Core principles for driving measurable outcomes in a fast-moving environment2:40 — Infrastructure foundation upskilling and why quarterly training is already dead3:38 — AI governance — non-deterministic by nature and not easy to implement4:20 — Making sure all stakeholders are represented in the governance structure4:50 — The challenge of AI adoption at scale — turning traditional workers into AI-enabled workers5:55 — The Epic decision — choosing a foundation and sticking close to it6:05 — Why Baptist selected Epic and the principle of minimal customization7:07 — Using Epic's best practice data to structure workflows faster and more stably8:13 — Top AI use cases — ambient listening scheduling imaging and clinical decision support9:42 — Automated workflows reducing patient wait times for urgent studies10:35 — Provider burnout is real and clinical decision support is the next game changer11:24 — The three data challenges — quality at the source velocity and security12:45 — Five years of data investment that prepared Baptist for the current AI wave13:10 — Healthcare is the most attacked vertical — the cybersecurity conversation14:02 — Layered security prevention monitoring and the human element as the weakest link14:54 — Resilience and business continuity beyond just security tooling15:59 — Built-in security vs bolted-on security as agentic AI sprawls across systems16:49 — Agentic AI expands the attack surface and access control is still not solved17:17 — What happens when your workforce depends on agents that suddenly go down17:52 — Three-year prediction — end-to-end workflow automation at a scale not yet appreciated19:20 — Who captures the capacity freed by automation will define the next generation of healthcare20:11 — Would you let a robot perform surgery on you in five years?20:17 — Yes — and why LASIK proves the model for what comes next21:31 — A message of gratitude to nurses physicians and every patient-facing provider22:14 — Technology and IT exist only to support the people who actually deliver care23:33 — Closing remarks — leaders drive the change and AI is there to enable better outcomes🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization