Episode

Standard AI is a Black Box. Here is Why RAAPID Built a Glass One for Risk Adjustment.

Podcast
Healthcare IT Today Interviews
Published
May 14, 2026
Duration seconds
1478
Processing state
not_requested
Canonical source
https://podcasters.spotify.com/pod/show/heathcareittodayinterview/episodes/Standard-AI-is-a-Black-Box--Here-is-Why-RAAPID-Built-a-Glass-One-for-Risk-Adjustment-e3j11ph
Audio
https://anchor.fm/s/2c6f3bc4/podcast/play/119620849/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-4-7%2F423658768-44100-2-dbde8958ad7a2.mp3
JSON
/v1/public/podcasts/healthcare-it-today-interviews-307487/episodes/standard-ai-is-a-black-box-here-is-why-raapid-built-a-glass-one-for-risk-adjustment
Markdown
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Summary

Generative AI is powerful but its unpredictable nature can create compliance risks for health systems, especially for revenue cycle. You cannot afford to guess how an algorithm arrived at a billing code. Healthcare IT Today sat down with Chetan Parikh, Founder and CEO of RAAPID. We discuss how their neuro-symbolic AI moves risk adjustment away from opaque models to a fully transparent approach. Viewers will learn how to balance revenue capture with strict regulatory compliance while reducing the mental load on medical coders. 🔔 Subscribe for more great interviews with Health IT leaders. Learn more about RAAPID at https://www.raapidinc.com/ Find more great health IT content at https://www.healthcareittoday.com/