Kythera Labs has expanded its partnership with Databricks by launching the Clinical Semantic Bridge MCP on the Databricks Marketplace. The new healthcare Model Context Protocol (MCP) integration enables organizations to translate plain-language clinical concepts into standardized healthcare code sets, allowing AI agents, analysts, clinicians, and researchers to access structured healthcare data more efficiently. The launch strengthens healthcare AI development by simplifying cohort discovery, clinical trial feasibility, patient identification, and real-world evidence generation.
Clinical Semantic Bridge MCP is designed to bridge the gap between natural clinical language and structured healthcare data. It translates diseases, medications, procedures, laboratory tests, outcomes, and eligibility criteria into retrieval-ready code sets across widely used clinical vocabularies, including ICD, SNOMED, CPT, RxNorm, LOINC, and customer-specific terminologies. This enables healthcare organizations to query complex datasets using everyday clinical language instead of manually mapping codes.
The new MCP enables AI agents and analysts to work across claims, electronic health records (EHR), pharmacy, laboratory, and research datasets from within governed Databricks environments. By simplifying access to structured healthcare information, organizations can accelerate use cases such as patient cohort discovery, clinical trial recruitment, commercial analytics, market access research, and real-world evidence generation.
Available through the Databricks Marketplace, the Clinical Semantic Bridge MCP becomes part of a growing ecosystem of healthcare AI tools built on Model Context Protocol standards. Organizations can discover the solution through the marketplace and configure it within their Databricks workspace, enabling secure, governed access while leveraging existing enterprise data infrastructure.
As healthcare organizations increasingly deploy AI agents, ensuring accurate interpretation of clinical terminology has become essential. Kythera's semantic layer provides a trusted translation mechanism that helps reduce ambiguity between clinical intent and structured healthcare data, supporting more reliable AI-powered analysis and decision-making across healthcare and life sciences organizations.
"Clinical Semantic Bridge is a core semantic primitive for healthcare AI. It translates natural language into retrieval-ready healthcare code sets across ICD, SNOMED, CPT, RxNorm, LOINC, and customer-specific vocabularies, creating a trusted bridge between clinical intent and structured data." said Glynn Dennis, Chief Science Officer, Kythera Labs
The expanded partnership reflects the growing importance of semantic interoperability in healthcare AI. By bringing Clinical Semantic Bridge MCP to the Databricks Marketplace, Kythera Labs is helping healthcare providers and life sciences organizations accelerate AI adoption while improving access to trusted, structured clinical data for research, analytics, and patient care.
Kythera Labs is a data technology company that unifies data science and data technology to enable higher fidelity in healthcare data for Healthcare and Life Sciences organizations. Our multi-source data captures over 300M de-identified unique individuals, integrated into a single, semantically consistent foundation that removes the friction of stitching together disparate sources. Our technology is built for RWD users to integrate, access, analyze, and find answers through a sovereignty-native architecture — so clinical, operational, commercial, and financial teams can work from one version of the truth, without rebuilding the data for every new use case.
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