Data Normalisation

Across the healthcare continuum, a great deal of effort has been applied to the aggregation and movement of data between applications. This syntactic level of interoperability is a crucial step in making data from disparate locations and applications available across an enterprise. However, semantic interoperability and normalization are required to unlock the true value and usability of this information. Simple translation tables and human-powered manual mapping cannot keep up with rapidly evolving standard and local terminologies. Symedical provides the content management tools and web services that deliver consistent, accurate data that enables enterprises to achieve the benefits of semantically meaningful data.

Terminology Mapping and Knowledge Management

Symedical’s Cognition and Mapping Engines employ advanced rules-based processes, techniques, and collective reasoning algorithms to decompose, normalize, and automate the mapping of local and standard terminologies.

Unlike most commercially available mapping tools, Symedical is preconfigured with domain specific algorithms that go beyond basic lexical matching.
These algorithms are healthcare-terminology focused and employ the following techniques, which can be tuned for optimal mapping results:

  • Lexical-matching (mapping based on exact string match, alias match, phonetic match, token match, etc.)
  • Semantic-mapping (mapping by comparing source and target term attributes)
  • Probability-based (mapping using similarity, weights, and preferred flags)
  • Cross-reference (mapping using third-party maps, such as GEMs)
  • Community-based (mapping based on leveraged map data from other Symedical users)

High Performance and Scalable APIs

Symedical Semantic Services Framework monitors transaction channels and translates terms using approved maps. These services can be configured to dynamically map new or changed terms in real time. Local additions or changes can be harvested to a central authority to be assessed, mapped, and distributed to other remote locations as needed. The Semantic Services Framework is designed to scale for high transaction volume.

Enterprise Normalisation

Manage reference data, master data, and maps from across an enterprise from one central location, improving operational efficiency, data consistency, and quality.

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