The Health/Tech Edge – Details, episodes & analysis

Healthcare operations are facing a perfect storm: staff are overloaded, yet patients still rely heavily on the phone for access. In this episode of the Health/Tech Edge, host Mike Moore sits down with Aqeel Shahid, SVP of Channels and Alliances at IntelePeer, to discuss how "Agentic AI" is solving the friction points that plague modern practices—from endless hold times to uncomfortable billing conversations.
We dive deep into why the old "press 1 for appointments" phone tree is dead and how the new generation of AI can handle complex workflows like rescheduling waitlists and collecting payments with surprising empathy and efficiency.

Healthcare runs on data, but much of it feels like a giant bag of receipts—fragmented, inconsistent, and missing key details. In this episode, Mike Moore sits down with Ryan Leurck, Chief Analytics and Product Officer at Kythera Labs, to talk about why healthcare data is such a mess and what it will take to fix it.

Ryan shares how his background in aerospace systems engineering shapes the way he thinks about healthcare’s system-of-systems problem, and why most data vendors still aren’t solving the root issues. He breaks down what’s really missing from claims data, why transparency rules haven’t delivered clarity, and how AI and modern data pipelines are finally helping healthcare organizations turn chaos into clarity.

Key topics include:

• Why healthcare data can’t be trusted “as-is”

• How remastering, tokenization, and better engineering create cleaner data

• Why BI dashboards are about to change forever

• Real stories from health systems discovering their metrics were way off

• What’s coming next as AI makes data analysis accessible to everyone

If you’ve ever questioned your dashboards or wondered why your data never matches your reality, this episode is for you.

In this episode of Health/Tech Edge, Mike Moore talks with Shannon Kennedy, Chair of the Healthcare Group at The Digital Economist and a Healthcare Strategy Advisor at Productive Edge. They explore what “ethical AI ROI” really means—and why it matters now more than ever in healthcare.

This isn’t about theory. It’s about recognizing that AI done wrong has real costs: compliance failures, reputational damage, and operational risk. Shannon shares examples from the front lines—staffing models, patient privacy, and vendor pilot projects—and breaks down how leaders can use the metrics they already have to track both impact and risk.

If you're a healthcare executive wondering how to connect responsible AI with business value, this episode gives you a simple starting point—and a few cautionary tales to avoid.

Jessica Richmond, Head of AI Go-to-Market for Healthcare and Life Sciences at Google Cloud, joins The Health/Tech Edge to discuss how health systems and payers are moving beyond isolated use cases and building scalable AI agent platforms. In this episode, we talk about:

• Why improving the patient and provider experience is driving AI adoption

• What Google’s Agentspace platform offers for governance, security, and rapid deployment

• Key agent use cases in claims, patient readiness, sepsis prevention, and administrative automation

• How to think about AI platform strategy versus point solutions

• Practical advice for leaders who are stuck or hesitant to move forward

Whether you're just getting started or already deep into AI strategy, this conversation offers clear direction for building with purpose—and speed.

In this episode, Toryn Slater from Qventus, Inc joins us to talk about how health systems are moving from systems of record to systems of action — using AI operational assistants to reduce administrative burden, improve patient flow, and help care teams work at the top of their license. We cover real-world examples across inpatient care, perioperative services, and pre-admission testing — and why relieving below-license work is key to improving operations and outcomes.

AI is everywhere in healthcare, but how do you know if it’s actually delivering results?

Join us as Adam Block, PhD, founder of Charm Economics, shares how health plans, providers, and health tech companies can build real ROI models for AI and digital health investments.

We’ll cover:

✅ What counts as ROI and what doesn’t

✅ Why AI scribes are a true breakthrough

✅ The prior auth “arms race” between payers and providers

✅ Practical advice for healthcare execs making AI investment decisions

If you work in healthcare strategy, finance, or innovation, this one’s for you.

AI cannot fix broken workflows. Smarter task management helps healthcare organizations build the foundation they need to truly leverage AI and automation.

In this session, we'll talk with Michael Docktor, MD, pediatric gastroenterologist, health tech innovator, and CEO of Dock Health, about how better task management leads to workflow excellence, operational productivity, and AI readiness.

AI agents are starting to make a real impact in healthcare, but most organizations are still figuring out how to move from idea to execution. In this episode, host Mike Moore talks with Raheel Retiwalla from Productive Edge and Murali Gandhirajan, Global Healthcare CTO at Snowflake, about what it takes to build and deploy AI agents that solve real problems. They cover common use cases, what’s driving adoption, how Snowflake’s platform supports secure, scalable AI, and what to watch for in the year ahead.

Mike Moore hosts Raheel Retiwalla to unpack the whitepaper, AI Governance, Compliance, and Risk Management: A Responsible AI Framework for Healthcare AI Agents. They explore how AI agents introduce new risks, why healthcare needs a different governance approach, and what a practical framework looks like. Whether you're early in your AI journey or scaling AI agents across your organization, this conversation breaks down what responsible AI should mean in healthcare today.

With the help of Google's NotebookLM, we put together this discussion of Raheel Retiwalla's book, Transforming Healthcare with AI: Your Definitive Guide to Creating a Winning AI Strategy.