From Data Chaos to Clarity: Making Sense of Healthcare’s “Bag of Receipts”
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From Data Chaos to Clarity: Making Sense of Healthcare’s “Bag of Receipts”
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Healthcare runs on data, but much of it feels like a giant bag of receipts—fragmented, inconsistent, and missing key details. In this episode, Mike Moore sits down with Ryan Leurck, Chief Analytics and Product Officer at Kythera Labs, to talk about why healthcare data is such a mess and what it will take to fix it.
Ryan shares how his background in aerospace systems engineering shapes the way he thinks about healthcare’s system-of-systems problem, and why most data vendors still aren’t solving the root issues. He breaks down what’s really missing from claims data, why transparency rules haven’t delivered clarity, and how AI and modern data pipelines are finally helping healthcare organizations turn chaos into clarity.
Key topics include:
Why healthcare data can’t be trusted “as-is”
How remastering, tokenization, and better engineering create cleaner data
Why BI dashboards are about to change forever
Real stories from health systems discovering their metrics were way off
What’s coming next as AI makes data analysis accessible to everyone
If you’ve ever questioned your dashboards or wondered why your data never matches your reality, this episode is for you.