Automap

Health Data Semantic Normalization

Automated mapping solution that takes raw healthcare content in a variety of forms and performs terminology linking to healthcare standards such as USCDI, US Core, CDISC, or other industry requirements.

Take the data you have and map it to the data you need.

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    Terminology Crosswalk

    Develop concept maps from local terminology codes to the standards, or from one standard to another. Prepare initial maps in a fully automated way and finalize with lite human curation.

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    Semantic Standardization

    Start with FHIR resources, CCDA documents, or text strings containing medical content and normalize to USCDI or other terminology standards.

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    NLP + Terminology Linking

    Start with clinical notes, extract relevant entities that you are interested and link content to the terminologies you need. Can be used for concept indexing of journal articles, extraction of codable criteria from clinical trials writeups, or extraction of clinical information from hospital notes.

“The healthcare industry is drowning in a sea of disparate code systems and too much effort is spent in basic code system management," stated Jesse Efron, COO of West Coast Informatics. "TermHub™ cuts through the complexity, empowering organizations to harness the power of terminology for improved data quality, streamlined workflows and ultimately, better patient care.”

Demonstrating Value

See a demonstration of our AutoMap UI as it performs a batch mapping exercise on a set of content to derive USCDI mappings for conditions, procedures, lab results, and medications across SNOMEDCT, ICD10PCS, LOINC, and RXNORM.

Contact info@terminologyhub.com to sign up for an account to test in our reference environment.