In this episode of The Health/Tech Edge, Mike Moore sits down with Michael Riley, co-founder and Chief Product Officer at Gabeo, to talk about one of healthcare’s biggest hidden problems: claim denials.

Michael shares how Gabeo uses purpose-built agentic AI—not repackaged chatbots—to identify, prevent, and reverse denials in real time. With proven ROI as high as 40x, their platform helps providers recover revenue they were ready to write off.

They cover:

• Why denials were Gabeo’s first AI use case

• How their system works with zero integrations

• What they’ve learned from payer-specific denial patterns

• The real workforce impact of automation in rev cycle ops

• Advice for healthcare leaders evaluating AI today

If you're looking to reduce waste, increase efficiency, and get paid for the care you deliver, this one's worth your time.

In this episode of Health Tech Edge, Mike Moore sits down with Raheel Retiwalla, Chief Strategy Officer at Productive Edge, for a late mid-year check-in on AI in healthcare. Raheel shares what he’s hearing from healthcare leaders on both the payer and provider side — from the drive for measurable ROI and responsible AI to the challenge of too many point solutions.

They discuss the four core functions AI can play in healthcare workflows, how Productive Edge’s 50+ AI accelerators are helping organizations reimagine operations, and why payers focus on integration strategy while providers look to extend their EHR with point solutions and CRM-driven engagement.

Raheel also walks through real-world examples, including a pre-visit face sheet generator for care managers and revenue integrity optimization for providers, and offers practical guidance on building a unified AI strategy, prioritizing use cases, and delivering quick wins in weeks, not years.

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.