John Snow Labs Unveils New AI-Powered HCC Coding Engine to Enhance Risk Adjustment Accuracy and Revenue Integrity

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John Snow Labs Unveils New AI-Powered HCC Coding Engine to Enhance Risk Adjustment Accuracy and Revenue Integrity - GlobeNewswire

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"By leveraging the latest healthcare-specific AI models and human-in-the-loop workflows to improve them, both payers and providers can run HCC coding in-house at lower cost, with higher accuracy, and tighter control compared to outsourced or black-box services.” To learn more about John Snow Labs’ AI-powered HCC coding solution, visit About John Snow LabsJohn Snow Labs, the AI for healthcare company, provides state-of-the-art software, models, and data to help healthcare and life science organizations put AI to good use.

The end-to-end solution enables payers and providers to run patient risk adjustment programs in-house, lowering costs and improving accuracyLEWES, Del., April 22, 2025 (GLOBE NEWSWIRE) -- John Snow Labs, the AI for healthcare company, today announced its new end-to-end Hierarchical Condition Category (HCC) coding engine designed to help healthcare providers and payers improve risk adjustment accuracy and revenue integrity.

Powered by state‑of‑the‑art, healthcare‑specific language models from John Snow Labs, healthcare organizations can bring AI‑powered HCC coding in‑house, empowering clinical teams with greater control, scalability, and cost efficiency.