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John Snow Labs and Data4Healthcare Announce Partnership to Bring Medical Language Models to Health Plan Risk Adjustment and Quality Programs

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John Snow Labs, a healthcare AI company and the industry leader in medical language models, announced a partnership with Data4Healthcare, a healthcare AI enablement firm focused on health plan risk adjustment, quality, and care management programs. The partnership gives Data4Healthcare’s health plan, PBM, and provider organization customers access to John Snow Labs’ Medical LLM & NLP models as well as the Patient Journey Intelligence platform to extract accurate, audit-ready information from unstructured clinical data — the source of many risk adjustment and quality gaps that claims data alone cannot close.

The agreement builds on Data4Healthcare’s existing work with Martlet AI, John Snow Labs’ HCC coding and RADV company. It extends that relationship to John Snow Labs’ specialized LLM, NLP and Patient Journey Intelligence capabilities, with AI governance support available through Pacific AI. Together, the three cover the areas Data4Healthcare’s health plan customers raise most often as immediate business needs that leverage healthcare AI.

Much of the information payers need for accurate risk scores, quality measures, and care gap analysis sits in unstructured clinical notes, PDFs, and scanned records that structured EHR records and claims data does not capture. John Snow Labs processes this data inside the customer’s own cloud environment (on AWS, Azure, Oracle, Databricks, or Snowflake) rather than as an external service, and licenses its models on a fixed, patient-volume basis instead of per API call or per token, providing health plans with predictable costs as data volume scales.

“You do not get an accurate risk score or quality measure without the information sitting in a patient’s clinical notes,” said David Talby, CEO of John Snow Labs. “Data4Healthcare’s relationships and expertise across health plans can give that data a direct path into the programs that need it.”

“Health plans have largely solved structured-data analytics. The real gaps in risk adjustment, quality reporting and care management programs live in the unstructured clinical narrative,” said Jim Doyle, co-founder and president of Data4Healthcare. “Pairing John Snow Labs’ medical language models with our solutions for these important programs gives our health plan clients a faster path to closing those gaps and realizing meaningful value across the organization.”

Under the agreement, Data4Healthcare will advise health plans, PBM, and provider organization customers how to best leverage and deploy John Snow Labs and Data4Healthcare solutions. The companies will coordinate account planning, sales enablement, and joint marketing efforts.

About Data4Healthcare

Data4Healthcare (D4H) is a healthcare AI enablement firm building applications that apply medical NLP and language models across structured and unstructured data to improve outcomes in risk adjustment, quality, and care management. D4H’s applications deploy end-to-end on its own platform or integrate directly into a client’s existing systems, giving health plans, PBMs, and provider organizations the flexibility to adopt AI-driven capabilities without disrupting current workflows or infrastructure. Learn more at Data4Healthcare.com

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Head of Digital Marketing
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Kateryna Lee is a Head of Digital Marketing at John Snow Labs.

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