HEALTHCARE AI LEADERSHIP

Physicians, founders, and system thinkers on our show are asking harder questions than "which tool": governance, sequencing, and what AI does to an already-strained system. Straight answers below.

What's the real state of AI adoption in healthcare?

Far behind the hype. A physician and certified AI consultant on our show estimates real adoption is "probably closer to like 20%" against claims of ninety. That gap is the leadership opportunity: the organizations moving deliberately now — starting with low-risk, high-relief workflows — set the standards everyone else will inherit.

How do we adopt AI without amplifying a broken system?

Fix the workflow before you automate it. The sharpest warning we've heard on the show: "if you put an AI workflow into an already broken system, all you're going to do is amplify the brokenness of the system." The sequence that works: map the current process honestly, repair the obvious breaks, then automate the repaired version — and measure before and after.

What's the safest first AI deployment for a practice or system?

Ambient documentation — AI scribes with mandatory human review. It touches no treatment decisions, relieves the single most-hated burden in clinical work, and builds staff trust for everything after. The same physician-builder calls ambient scribes "the gateway drug of AI." From there: intake, recall, referral follow-up — access workflows where the failure mode is a missed call, not a missed diagnosis.

How should we govern AI use across staff?

Lead with governance, not tools: a signed BAA for anything touching PHI, a written policy for what may and may not enter consumer AI tools, named ownership, and human review on every clinical artifact. As our guest puts it: "You have to lead with governance. You have to ensure that the AI is safe." Governance-first is also the fastest route to staff adoption, because it answers the fear before the training starts.

When does voice AI or full automation make sense?

Downstream, after access pain is proven — missed calls, dropped referrals, no-show recovery — and only when the manual version of the process already works. Leaders who deploy voice AI first, before mapping, buy amplified chaos. The mapping comes first; that's the discipline our Practice Growth Map enforces: what to automate first, what to build next, and what it's worth.

FROM THE SHOW

From Burnout to Breakthrough: Why AI Can't Replace Empathy | ft. Dr. Ashok

Dr. Ashok

Forty years of psychiatry, an overnight telehealth pivot, and why empathy is the one thing AI can't automate.

The Global Physician Journey from Nigeria to US Lessons from 12 Years of Practice | ft. Augusta Uwah

Dr. Augusta Uwah

A hospitalist who builds her own AI agents on revenue cycles, governance-first adoption, and the real adoption number.

What happens when a psychiatrist gets tired of a broken system | ft. Vera Prisacari

Dr. Vera Prisacari

Leaving the insurance grind to build a flat-fee ADHD practice — and being found by patients through AI assistants.

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