Health2Tech

About Health2Tech

Everything digital health

Publisher

Alex Koshykov

Category

technology

Language

en

Explicit

No

First episode

3 Dec 2025

Latest episode

17 Sept 2026

Latest episodes

76 episodes in the feed.

1. 

   17 Sept 2026

   #76 Digital Health Interviews: Beyond AI Chatbots: Building the Infrastructure Healthcare Actually Needs with Ashley Cairns

   What does it actually take to deploy AI inside a healthcare organization — beyond chatbots and proof-of-concept demos?In this episode of Digital Health Interviews, Alex Koshykov sits down with Ashley (Odom) Cairns, Founder & CEO of Keywell.ai, to discuss the next phase of healthcare AI: automating complex workflows, building HIPAA-compliant AI infrastructure, choosing between rapidly evolving foundation models, and giving healthcare organizations long-term control over their AI strategy.Ashley brings nearly 17 years of experience in healthcare data science and analytics, including work across Medicaid, UnitedHealth Group, Optum, and the Advisory Board Company. Today, Keywell.ai is building what Ashley calls “AI scaffolding” — an operational layer designed to help health plans deploy, govern, and evolve AI across use cases without becoming locked into individual SaaS point solutions.We discuss why health plans may be falling behind providers in the AI-powered coding arms race, how AI could change prior authorization and appeals, why Keywell.ai is betting on multiple foundation models instead of one, and what HIPAA compliance really means when LLMs are working with patient data.Ashley also explains why healthcare organizations need to test AI models against their own real-world data rather than relying solely on public benchmarks — and why founders should be thinking about whether the products they build today will still be relevant six months from now.

2. 

   29 Jul 2026

   #75 The Future of Virtual Care, AI Agents, and Healthcare Access | Chris Moose (Wheel)

   DescriptionWhat is the future of virtual care—and how will AI agents, interoperability, GLP-1 medications, blockchain, and government policy reshape healthcare delivery?In this episode of Digital Health Interviews, Alex Koshykov speaks with Chris Moose, Vice President of Life Sciences at Wheel, about the technologies and market forces transforming healthcare.https://www.linkedin.com/in/chrismoose/Chris brings more than 25 years of healthcare and pharmaceutical industry experience, including 23 years at IBM, where he worked on global supply chains, pharmaceutical traceability, medication security, blockchain, and the provenance of medicines. Today, at Wheel, he helps support the infrastructure behind virtual care delivery at scale.The conversation explores why IBM Watson’s legacy may be more important than its commercial results, why blockchain has struggled to achieve mainstream adoption, and how Web3 technologies could eventually return as invisible infrastructure rather than consumer-facing products.Chris also discusses the evolution from “Doctor Google” to AI-powered healthcare agents that can build a longitudinal understanding of a patient, analyze health information, and eventually coordinate appointments, insurance coverage, and care delivery.Other topics include healthcare interoperability, CMS initiatives, the future of telehealth after COVID-19, Wheel’s white-label virtual care model, the rapid growth of GLP-1 therapies, AI’s impact on healthcare jobs, and why digital health founders must understand government policy and funding opportunities.

3. 

   1 Jul 2026

   #74 Digital Health Interviews: Dr. David Levy — Why U.S. Healthcare Is Broken — And Why AI Alone Won’t Save It

   Why US Healthcare Is Broken — and Why AI Alone Won’t Save It | Dr. David LevyIn this episode of Digital Health Interviews, Alex Koshykov speaks with Dr. David Levy, physician, entrepreneur, former PwC global healthcare leader, and founder of Franklin Health.Dr. Levy explains why the U.S. healthcare system is in worse shape today than when he started 40 years ago, why employer-based health insurance is one of the root causes of the problem, and why AI alone will not fix healthcare unless we use it to redesign care around patients.We discuss complex care management, home-based care, Medicare Advantage, value-based care, healthcare costs, risk pools, AI in healthcare, prevention, longevity, and what digital health founders often get wrong.Topics covered: Why U.S. healthcare is so expensive Employer-based health insurance and fragmented risk pools Complex care management and home-based care Why value-based care has not solved the problem How AI may help or hurt the healthcare system The difference between disease and illness Longevity, prevention, and biohacking Advice for digital health founders

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