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    Home»News»John Snow Labs Launches Spinoff Martlet.ai to Transform HCC Coding
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    John Snow Labs Launches Spinoff Martlet.ai to Transform HCC Coding

    HealthradarBy Healthradar2. Juli 2025Keine Kommentare2 Mins Read
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    John Snow Labs Launches Spinoff Martlet.ai to Transform HCC Coding
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    John Snow Labs Launches Spinoff Martlet.ai to Enable AI-Powered HCC Coding for Payers and Providers

    What You Should Know: 

    – John Snow Labs, a prominent AI company in the healthcare sector, today announced the launch of Martlet.ai, a new healthcare AI company dedicated to redefining how payers and providers approach Hierarchical Condition Category (HCC) Coding. 

    – Founded by engineers and payment experts from John Snow Labs, Martlet.ai is the first of several planned spin-off companies aimed at tackling specific, high-impact challenges within the healthcare industry using AI

    Impact of Patient Risk Adjustment

    HCC coding is critical for patient risk adjustment, directly impacting reimbursement structures and ensuring the financial viability of value-based care models. This is becoming even more vital given the CMS Medicare Advantage rate hikes announced for 2026, which will further link reimbursement to precise documentation and coding.

    Martlet.ai’s State-of-the-Art HCC Engine

    Martlet.ai’s advanced HCC engine is designed to address these complex challenges. Co-founded by CTO Hasham Ul Haq and CRO Ritwik Jain, the venture is built on years of successful delivery of AI solutions to leading healthcare enterprises. The models operate entirely behind customer firewalls and are trained directly on patient charts to ensure unparalleled accuracy, auditability, and speed. Unlike general-purpose AI tools, Martlet.ai was specifically developed for clinical documentation, making it highly effective for powering coding workflows.

    Real-World Success at WVU Medicine

    West Virginia University (WVU) Medicine is already benefiting from Martlet.ai, utilizing it to identify previously missed HCC codes, enhance risk adjustment factor (RAF) scoring, and streamline physician workflows. The seamless two-way integration with their electronic health record (EHR) system ensures full compliance. During their NLP Summit session, “Maximizing Patient Care through AI-Enhanced HCC Code Discovery,” WVU reported a notable increase in HCC code accuracy and a significant reduction in manual review time.

    “Martlet.ai gives healthcare organizations the power to take HCC coding into their own hands with a level of customization and compliance that is unmatched,” said David Talby, CEO, John Snow Labs. He further emphasized that Martlet.ai was “engineered by industry leaders to be compliant, effective, and production-ready from day one” through its combination of “state-of-the-art, healthcare-specific, proprietary medical language models, an optimized human-in-the-loop workflow, and enterprise-grade validation layers”.



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    Artificial Intelligence Coding EHR integration HCC John Labs Launches Martlet.ai Snow Spinoff Transform
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