Season 1, Episode 1 | From HL7 to MCP: The Infrastructure Stack for Healthcare AI

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The Data Frontier Podcast

Patricia Thaine

2 episodes

6 days ago

Host Patricia Thaine – co-founder of Private AI – sits down with engineers, data scientists, product leaders, domain experts, policymakers, and innovators pushing the boundaries of what's possible with data. They talk about real problems. The blockers slowing projects down. The gaps between prototype and production. What needs to change – and what's already working – when you're handling some of the most complex data out there. From NLP and privacy-preserving techniques to interoperability standards, AI workflows, and the infrastructure and governance challenges that come with scale.

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Season 1, Episode 1 | From HL7 to MCP: The Infrastructure Stack for Healthcare AI

The Data Frontier Podcast

47 minutes 10 seconds

3 weeks ago

Season 1, Episode 1 | From HL7 to MCP: The Infrastructure Stack for Healthcare AI

Healthcare moves at the speed of trust – and right now, trust is the bottleneck.

Patricia Thaine sits down with Michael Lynch (Product Manager, Providence Health) and Sam Schifman (Innovation Architect, Vantiq) to talk through what it actually takes to build AI infrastructure that works in healthcare.

They cover the messy reality: sparse data, 40+ ways to encode "negative" in a single COVID report, why physicians need blood pressure context (not just raw numbers), and how agents might coordinate patient discharge without anyone hunting down a physical therapist.

The conversation moves from HL7's AI transparency standards and FHIR interoperability to MCP-based agent communication, federated learning, and the shift from deterministic code to systems you teach rather than program.

If you're dealing with unstructured clinical data, building tools clinicians will actually use, or trying to scale AI without breaking trust – this one's for you.

- About the Guests -

Michael Lynch is a product manager with nearly two decades of experience building and launching healthcare solutions that truly make an impact. His focus is on leveraging AI and machine learning to create smart tools that reach millions of patients and help clinical teams deliver their best work. He has led major transformations, founded a startup, and stays hands-on with the latest advancements by teaching and contributing to open-source projects. While pursuing his PhD in computer vision for medical imaging, he focused on creating datasets to teach machines human-like intelligence – a foundation that continues to drive his approach to AI innovation today.

Sam Schifman is a seasoned software architect with deep expertise across industries including healthcare, finance, education, and cybersecurity. He entered Healthcare IT in 2019 as Chief Architect at Diameter Health, where he focused on unlocking clinical data for government agencies, insurers, and Health Information Exchanges. A longtime advocate for responsible AI, Sam has worked with HL7 on AI standards, explored NLP and GenAI in clinical contexts, and frequently shares his insights as a speaker and guest lecturer at institutions like Harvard and conferences such as HIMSS. Now at Vantiq, he's focused on how Adaptive Automation / Agentic AI will empower the future of healthcare and improve outcomes for all.

- Links -

Michael's Aggregate Intellect Talk: Opportunities for Agent-Based Applications in Healthcare

Michael's LinkedIn: linkedin.com/in/michaellynchphd

Sam's YouTube: youtube.com/@Schifman_health

Sam's LinkedIn: linkedin.com/in/samschifman