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Ep 54: The Business of Making Healthcare Data Trustworthy

Boombostic Health

Release Date: 12/09/2025

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info_outline Ep 54: The Business of Making Healthcare Data Trustworthy show art Ep 54: The Business of Making Healthcare Data Trustworthy

Boombostic Health

Summary Healthcare is racing to be “AI ready.” But most of the industry is still trying to turn billing exhaust into strategy. In this episode, Bradley Bostic sits down with Ryan Leurck, Co-Founder & Chief Analytics Officer at Kythera Labs, to cut through the noise and get blunt about what actually makes AI work in healthcare. Because the truth is simple—and uncomfortable: If your data can’t be trusted by humans, it can’t be trusted by AI. And in healthcare, much of our data was never designed for the questions we’re now demanding it answer. Takeaways Why claims, EHR, and lab...

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Boombostic Health

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Summary

Healthcare is racing to be “AI ready.” But most of the industry is still trying to turn billing exhaust into strategy.

In this episode, Bradley Bostic sits down with Ryan Leurck, Co-Founder & Chief Analytics Officer at Kythera Labs, to cut through the noise and get blunt about what actually makes AI work in healthcare.

Because the truth is simple—and uncomfortable:
If your data can’t be trusted by humans, it can’t be trusted by AI.
And in healthcare, much of our data was never designed for the questions we’re now demanding it answer.

Takeaways

  • Why claims, EHR, and lab data weren’t built for strategy—and how that limits AI.
  • The risk of modern AI: “AI is not always right, but it always sounds sure.”
  • Why healthcare data is still optimized for coding and billing, not predictive insight.
  • Kythera’s mission to “reduce the uncertainty in the use of healthcare data.”
  • How leaders should think about “AI ready” without falling for hype.
  • The reality of claims: a “big bag of receipts” that can mislead without expert context.
  • Why data quality and missingness matter as much as the data you do have.
  • A practical vision for AI inside provider orgs: agents that function like analysts/interns, not decision-makers.

 

Chapters

00:00 Introduction to AI in Healthcare
01:23 Ryan Leurck's Journey from Aerospace to Healthcare
03:22 The Current AI Landscape and Its Misconceptions
06:54 Kythera Labs: Reducing Uncertainty in Healthcare Data
11:13 Challenges of Healthcare Data and AI Integration
18:03 Opportunities for AI in Healthcare
22:52 Kythera's Target Audience and Solutions
27:41 The Role of AI in Operational Efficiency
31:18 Data Privacy and Accessibility in Healthcare
34:30 The Future of AI in Healthcare

 

Keywords

AI, healthcare, data analytics, machine learning, healthcare technology, Kythera Labs, artificial intelligence, data quality, healthcare providers, operational efficiency