Blood, Sweat & Data
Blood, Sweat & Data
Podcast Description
This is the show for healthcare data professionals who want their work to actually matter. We go deep on data products, analytics engineering, and responsible AI with the people doing it for real.
Podcast Insights
Content Themes
The podcast delves into topics such as data products, analytics engineering, and responsible AI in healthcare, with episodes that examine key themes like the AI maturity model, clinician buy-in strategies, and evaluation frameworks for AI tools. Notable episodes explore the real-world implications of LLM implementations and strategies to ensure accuracy and safety in healthcare data.
For healthcare data professionals who want their work to actually matter. We go deep on data products, analytics engineering, and responsible AI with the people doing it for real.
In this episode, Hunter sits down with Dr. Yubin Park, healthcare AI pioneer and founder of Mimi Labs and Falcon Health, to explore the future of value-based care and how 30TB of public health data can unlock new opportunities.
Topics we cover:
- Why value-based care is like switching from ”hourly contractors” to ”project-based payments”
- How capitated payment models are evolving beyond traditional HMO approaches
- The reality check on LLMs in healthcare: why they're ”smart, cheap interns” that need oversight
- Why healthcare data changes faster than people think (regulations, codes, payment rules)
- How AI can bridge the gap between fragmented government datasets and policy decisions
- Practical applications of public health data for both established companies and startups
- The surprising optimism case for America's ”messy” healthcare system vs. monolithic approaches
- Van Gogh's philosophy applied to healthcare: why small details build great outcomes
Perfect for: Healthcare data leaders, value-based care professionals, health tech entrepreneurs, and anyone working with public health datasets or building AI solutions in healthcare.
Dr. Park shares his unique perspective as someone who's experienced healthcare systems in Korea, Japan, and the US, plus insights on building data teams, operationalizing public datasets, and why America's fragmented healthcare system might actually be a feature, not a bug.
Guest Bio: Dr. Yubin Park is a healthcare AI pioneer who built and sold multiple startups, served as Chief Data and Analytics Officer at Astrana Health, and now leads Mimi Labs and Falcon Health. He was recently named to Pearl Health's list of top 50 value-based care thinkers and teaches as an adjunct professor at Emory University.
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