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.