Dr. Tia Warrick started as a clinical research coordinator before founding Asus Consulting, a software platform that helps sponsors and providers get clinical trial coverage analysis right from the start instead of fixing billing problems after the fact.

In this episode, Tia breaks down what a coverage analyst actually does, why Medicare and Medicaid coverage rules are so hard to interpret, and how her software pulls CPT codes, NCD/LCD data, and peer-reviewed literature to build a defensible budget in minutes instead of months. She also talks about the guardrails she built into her AI to prevent hallucinations in a space where financial and compliance stakes are high, and why she believes automation should support coverage analysts rather than replace them.

Topics covered:

• Why clinical trial budgets can take up to 8 months to finalize
• What a coverage analyst does and why the process is so manual
• How AI and automation can speed up coverage determinations without sacrificing accuracy
• The guardrails needed to keep healthcare AI from hallucinating
• Why payers and providers are more connected than they realize, and what that means for closing claims faster

Your doctors don't have 26.7 hours in a day. So AtlantiCare stopped pretending the old system could work.

CIO Jordan Ruch joins HealthTech Edge to talk about what real transformation looks like inside a health system, from AI in the ED to rethinking the entire tech stack.

No hype, just what's actually working.

Rural healthcare is facing a breaking point.

In this episode, Mike Moore talks with Mitchell Fong about what’s really happening on the ground and why common solutions like telehealth and AI don’t always work the way people expect.

They unpack the realities of access, the risks of biased data, and the challenge of building sustainable care models. Mitchell also shares practical advice for healthcare leaders on where to start and how to avoid common mistakes.

A grounded conversation for anyone trying to apply AI and technology in real healthcare environments.

What does AI actually look like in a real caregiving situation?

Mike Moore sits down with Jamil Afza, Co-Founder and CTO of Mitali, to talk about how AI can support people living with dementia and the families caring for them.

They cover:

• the challenges caregivers face every day
• how AI can help prepare for doctor visits
• the role of continuous data vs occasional check-ins
• why trust and safety matter more than features

This is a grounded conversation about using AI to support families, not replace care.

Healthcare has gotten better at discovering new treatments. But getting patients to those treatments is still broken.

Mike Moore talks with Dr. Jennifer Carter, founder and CEO of Medzown, about the gap between innovation and access.

They cover:

• Why patients still bounce between treatments without clear direction
• How fragmented the system is across providers and trials
• Why clinical trial access remains inefficient
• How health plans are starting to play a bigger role in guiding care
• What needs to change to reduce cost and improve outcomes

At the center of it all is what Dr. Carter calls “the swirl” — the cycle of trial-and-error care that wastes time, money, and opportunity.

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.