The Health Language Data Normalization (DN) solution for Clinical Data Mapping enables healthcare organizations to translate local and proprietary disparate data to industry standards such as LOINC®, RxNorm, SNOMED CT®, and ICD-10.

Mapping local data to clinical standards is essential for enabling semantic interoperability to accurately inform clinical decision support rules, population cohort identification, risk adjustment or stratification, longitudinal patient records and other advanced analytics leveraging clinical data.

Available within the Azure Cloud, our solution utilizes sophisticated, clinically trained algorithms, proprietary crosswalks and synonym libraries – optionally, overseen by our professional clinical terminologists – to provide you with the most accurate mappings to standards.

The software solution can be used asynchronously mapping local terminologies then extracting the mappings for local use or be integrated into a run-time high-volume mapping architecture retrieving maps via APIs and triggering workflow for mapping unmapped sources.