Podcast > Episodes

“Tell Me Where IT Hurts” Podcast: John Lynn, Founder of Healthcare Scene

April 16, 2026

In this episode of Tell Me Where IT Hurts, Dr. Jay Anders welcomes John Lynn, founder and chief editor of Healthcare Scene, which includes Healthcare IT Today and Swaay.Health communities, publications, podcasts, newsletters, and conferences.

Healthcare NOW Radio Podcast Network

Lynn has spent more than 20 years covering the healthcare IT industry and is one of its most connected voices. His journey began while implementing an electronic medical record (EMR) at UNLV’s health and counseling center. The project inspired Lynn to begin writing about the technology, which turned into a full-time career. Today, Healthcare IT Today has published more than 18,000 articles and built a community of 200,000-plus followers across its platforms.

Together with Dr. Anders, Lynn discusses the shifting landscape of healthcare IT following the spring conference season. He observes that chief information officers (CIOs) face a difficult balancing act: shrinking budgets paired with board-level demands for AI innovation. This tension is pushing CIOs to prioritize AI that delivers immediate cost savings while evaluating whether their current vendors can keep pace.

“Don’t compare AI to perfection. Compare AI to the alternative.”

John Lynn, Founder and Chief Editor
Healthcare Scene

Lynn identifies ambient clinical voice technology and revenue cycle management as clear winners in AI adoption. He acknowledges accuracy concerns around AI-generated documentation but frames the issue around comparing AI to the alternative rather than to perfection, noting that errors existed in paper charts, transcription, and human scribes long before AI entered the picture.

The conversation turns to interoperability, where Lynn offers a thought-provoking take on portable medical records. He describes the vision of a complete longitudinal patient record as the wrong goal, advocating instead for practical information sharing that solves specific clinical problems. He also highlights information blocking regulations as perhaps the most impactful government initiative in forcing EHR vendors to open their systems.

Both Lynn and Dr. Anders agree that the challenge has shifted from building data pipes to making data relevant, and that clinical guardrails are essential to ensuring AI outputs are valid, safe, and trustworthy. Lynn also raises two emerging themes: AI orchestration, or managing multiple AI agents working together, and the question of who will pay for AI, especially among smaller practices.

Asked what one thing he would change if given a magic wand, Lynn points to healthcare costs, arguing that opaque pricing structures sit at the root of many systemic problems.

 

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