In our pilot episode, we dive into how large language models are being used to clean up messy healthcare data—plus what that means for the future of clinical workflows. Phil shares details on a tool he built and evaluated at Atropos Health to map medication descriptions to RxNorm, and we unpack where AI is actually working in healthcare data (and where it's not working quite yet).

(00:00) Enter: The Phantom Menace

(00:28) How AI is reshaping health data

(01:04) The messiness of strings in clinical data

(03:11) The chaos of terminology in healthcare

(04:13) Using UMLS to find structure

(05:53) AI + RAG reaching 99.7% accuracy in structuring messy text?

(09:19) Reimagining how data gets created

(18:38) Will LLMs kill traditional clinical NLP?

(24:57) SQL: annoyingly unbeatable (for now)

(27:49) Where the health tech money’s going

(29:12) RAG explained… kind of

(39:21) What happens next? Let’s speculate

🔔 Subscribe for deep dives and guest interviews about healthcare data, AI, and the future of health tech. 

🎙️ About High Dimensional Health Data (HD²):

HD² is the podcast for people building healthcare's data and AI future. Hosted by Aaron and Phil, HD² explores the intersection of healthcare, data, and AI, and focuses on conversations with builders and practitioners.

YouTube: https://www.youtube.com/@highdimensionalhealthdata

Socials:

Phil Ballentine, Sr Director, Data Engineering at Atropos Health : https://www.linkedin.com/in/phil-ballentine/

Aaron Neiderhiser, Co-Founder and CEO at Tuva Health: https://www.linkedin.com/in/aaronneiderhiser/

Interested in working together or coming on the podcast as a guest? Email us at [email protected].