- Integrated suite of software tools
- Connect, curate, and standardize healthcare ontologies
- Works across internal, IQVIA, and third-party data sets
- Covers terminologies, relationships, mappings, and derived code lists across versions and languages
Coordinate how related health terms and concepts are described across different datasets at scale. Adopt a systematic, holistic approach to achieving — and sustaining — the most usable data. Drive cost-saving efficiencies and unlock AI-driven insights to accelerate better patient health.
Healthcare data fragmentation is an enduring challenge for all stakeholders. Clinicians capture and share health information using words and language. IT systems rely on alphanumeric codes.
Organizations across the healthcare ecosystem use different standards and code sets. Even within a single organization, multiple versions of the same code sets may exist, complicating data integration and management.
IQVIA’s Center for Health Data Semantics helped NHS England improve the quality of patient care delivery with an integrated solution for streamlining management and publication of SNOMED CT for more than 1 million concepts spanning clinical, drug, and pathology data. Key results included: