HIMSS 2026 felt different.

This year wasn’t about AI hype. It was about what actually works.

In this episode, I break down the real signals coming out of HIMSS:

• AI moving from pilots to enterprise rollout

• The growing gap between leaders and everyone else

• Why ROI is now expected, not optional

• How governance is becoming part of the foundation

• And a shift toward when AI becomes standard, not just possible

I also share a powerful moment from Jeremy Renner’s keynote that highlights a bigger issue healthcare still hasn’t solved: coordination and data sharing.

This is a practical recap for anyone leading operations, IT, or transformation in healthcare.

Question to think about:
If you had to explain your AI impact in one sentence today, what would you say?

Home care is becoming the frontline of healthcare, but most systems weren’t built for 24/7 delivery. In this episode, Victor Hunt, CEO of Zingage, explains how AI can stabilize home care operations, reduce missed visits, and support caregivers without replacing them. A practical conversation about AI, reliability, and real-world care delivery.

Undiagnosed genetic and developmental conditions are one of the most expensive and emotionally draining problems hiding inside employer-sponsored healthcare.

In this episode of HealthTech Edge, Mike Moore talks with Joshua Resnikoff, CEO of Sunstone Health, about how self-insured employers are using AI to identify high-need pediatric cases earlier and get families to answers faster. Sunstone analyzes claims data to surface patterns that suggest a child needs a deeper clinical look, then works directly with families, under full consent, to support clinicians with genetics-informed insights.

The conversation covers what AI is actually doing behind the scenes, why medical oversight matters, how privacy is protected when employers foot the bill, and why early intervention in pediatrics can change outcomes for a lifetime.

Most AI initiatives don’t fail because of the technology. They fail because organizations skip the human work.

In this episode of Health/Tech Edge, Mike Moore talks with Barbara Wittmann, founder of the Digital Wisdom Collective, about why AI exposes the weakest parts of organizations and what leaders can do differently. Barbara explains why we would never deploy software straight into production, yet we do exactly that with people when it comes to AI.

They discuss why one-time training doesn’t work, how fear of missing out drives stalled pilots, and why the real leverage sits in the middle of the organization. Barbara introduces the idea of building human infrastructure and using community as a safe test lab to pressure test AI ideas, work through friction points, and build judgment before scaling.

The conversation also looks at healthcare specifically, including burnout, administrative overload, trust, and why AI must create more space for empathy rather than take it away.

This episode is for healthcare and operations leaders who want AI to actually work in the real world, not just look good in a pilot.

Episode Links:

https://www.digitalwisdom.co

https://digitalwisdomcollective.substack.com/

https://www.linkedin.com/in/barbarawittmann/

Application link for the Collective: https://digitalwisdomco.typeform.com/to/tJn0Hbsi?typeform-source=digitalwisdomcollective.substack.com

Artificial intelligence is moving fast into prior authorization and claims processing. For payers and providers, the promise is speed, efficiency, and lower administrative cost. But when these systems scale faster than governance and oversight, the consequences can be serious.

In this episode of Health/Tech Edge, Mike Moore is joined byMichelle Mello, Professor of Law at Stanford Law School and Professor of Health Policy at Stanford Medicine. Michelle is the lead author of the Health Affairs paper The AI Arms Race in Health Insurance Utilization Review: Promises of Efficiency and Risks of Supercharged Flaws.

They discuss why prior authorization has become a prime target for AI, which parts of the process are genuinely suited for automation, and where AI can quietly reinforce flawed incentives and bad decisions. The conversation also covers the reality behind “no denial without human review,” how AI-curated summaries influence human judgment, and why making prior auth cheaper to run can sometimes make the system worse rather than better.

Michelle also shares lessons from evaluating real AI tools inside a large health system, including how workflow pressure, limited transparency, and overreliance on automation create risks that leaders often underestimate.

This episode is a practical conversation for healthcare executives, operators, and technologists who are making AI decisions today.

Burnout in medicine isn’t coming from patient care. It’s coming from inboxes, documentation, and after-hours “pajama time.”

In this episode of Health/Tech Edge, Mike Moore sits down with Dr. Faranak “Fara” Kamangar, a board-certified dermatologist and founder of DermGPT, to talk about how AI is being used right now to reduce administrative burden in clinical practice.

They cover:

• Why dermatologists face extreme inbox and documentation pressure

• How AI can cut hours of after-hours work without adding staff

• Why workflow problems are easier to solve than diagnostic AI

• How DermGPT is designed to say “I don’t know” instead of hallucinating

• Why trust, not intelligence, is the real product in clinical AI

• What healthcare leaders should test first when evaluating AI tools

This is a practical conversation about applied AI in healthcare. No hype. No theory. Just what’s working, what’s risky, and what clinicians actually trust.

🎧 Health/Tech Edge is the podcast on how technology is reshaping healthcare operations, with a focus on reducing administrative burden and improving productivity.

Care management breaks down more often than most people realize.
The result is missed follow-up, avoidable readmissions, and burned-out care teams.

In this episode of HealthTech Edge, I talk with Dr. Darin Patmon, plastic and reconstructive surgery resident and founder of Elite Care Tech, about using AI to catch patients falling through the cracks during care transitions.

We cover:

• Why transitional and chronic care management are still underused

• How admin burden blocks adoption

• What AI should automate and what must stay human

A practical conversation about improving outcomes without replacing clinicians.

Healthcare leaders are flooded with digital health vendors promising AI, efficiency, and better outcomes. Many never make it past a pilot.

In this episode of Health/Tech Edge, I talk with Sally Ann Frank, Global Lead for Health and Life Sciences at Microsoft for Startups and author of The Startup Protocol and The Unicorn Protocol, about how healthcare executives should evaluate digital health companies.

We cover why pilots fail, how to spot founder blind spots, what signals real execution and staying power, and how leaders can choose partners that will actually scale.

If you’re a healthcare executive buying or partnering with digital health companies, this one’s for you.