Hunter Muse

Data Clinic

Technology EN ↓ 4 episodes

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.

Author

Hunter Muse

Episodes

Matthew Robben (Co-Founder & CTO of Serif Health) on Healthcare Pricing Transparency: From Petabytes of Garbage to Market-Changing Insights 05.09.2025 1:21:50

Ever wondered why you can't get a straight answer about healthcare costs? Our guest Matt Robben has been deep in the trenches of this problem for years. As Co-founder and CTO of Serif Health, he's building the infrastructure to make healthcare pricing truly transparent. What You'll Learn: The Healthcare Pricing Maze Why that phone call asking "how much will this cost?" nev...

Dr. Steve Muething (Former Chief Quality Officer @ Cincinnati Children's Hospital): How One Hospital Network Saved 30,000 Kids by Sharing Everything 19.08.2025 42:50

Episode Overview: In this episode, Hunter sits down with Dr. Steve Muething, a nationally recognized leader in pediatric safety and former Chief Quality Officer at Cincinnati Children's Hospital, to explore how a small-town pediatrician became a driving force behind transforming healthcare safety culture across 150+ hospitals worldwide. Topics we cover: From rural practice to global impact: H...

Dr. Yubin Park: Turning 30TB of Government Data into Healthcare Gold 17.07.2025 43:03

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...

Payal Patnaik: Beyond the AI Hype - A Practical Guide to LLM Implementation in Healthcare 30.05.2025 1:04:33

In this episode, Hunter sits down with Payal Patnaik , former AI/ML Product Lead at One Medical, to cut through the AI hype and discuss what actually works when implementing LLM products in healthcare. Topics we cover: Why most "AI strategies" fail and how to start with the right problems instead of shiny objects The three-pillar AI maturity model (Usage, UX, Platform) and where your org...