It’s a Fascinating Story …
Cavo Health’s Precise Word Matching AI™ has a fascinating story behind it.
The story behind Cavo Health begins with an ambitious health plan CEO and a chance meeting at Bob Evans.
In 2016, a health plan CEO studied his risk adjustment coding results and concluded his health plan was reviewing charts with subpar accuracy and HCC completeness. He suspected there had to be a better way and wondered how technology might help.
One day while this CEO was eating breakfast at Bob Evans with the same thought running through his mind, he had a chance encounter with colleague George Witwer at a nearby table. He knew that George had spent his entire career leading a technology company that builds AI solutions for big, unstructured data and wondered whether George could build an AI solution to accurately auto-code medical records. He walked over to George and asked how his AI might find and accurately identify HCCs.
An idea was born.
George knew immediately that the AI solution needed to be a “precise” model with no ceiling on its ultimate accuracy — not a statistical, machine-learned model with a sub-par accuracy ceiling of 85% that could only “suggest” possible diagnoses.
Based on that precision-based premise, George led his AI team to develop Precise Word Matching AI — a completely innovative, exact approach to HCC completeness. And in that moment of need, Cavo Health came to life. The Cavo Health Precise Word Matching AI engine finds more than 96% of the HCCs in medical records before coders even begin coding — a unique technological achievement.
Today the Cavo Health suite of products automates virtually the entire risk adjustment coding workflow along with delivering the unprecedented auto-coding accuracy and HCC completeness of the world’s only Precise Word Matching AI engine.
