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Scope:

Almost every clinical application leverages (coded) concepts from both standard, national and local terminology systems. 
The ability to look up concepts in a terminology system, to resolve the relationships between two or more concepts, the
expansion of a valueset definition, their maintenance across versions over time are but some of the basic operations that  
would be beneficial to the components and services supporting an application.

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  • Terminology system curation tools
  • Knowledge artifact authoring tools (e.g. rules, quality measures, etc..)
  • (Synthetic) Data curation tools
  • Data repositories implementing "semantic" queries (e.g. FHIR servers)
  • Knowledge execution runtime (e.g. CDS engines)
  • Data validation and conformance implementations (e.g. FHIR validation based on profiles)
  • Data Aggregation systems e.g. supporting dashboard-like applications
  • Data normalization / alignment / transreption, both offline and online 

 

High level functional requirements for a terminology service include:

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From an integration perspective, several patterns have emerged as desirable, which
result in a variety of non-functional requirements:

  • Terminology resolution as a centralized (web) service in a SOA
  • Terminology as a component in a tightly coupled architecture
  • Terminology as an in-memory application feature
  • Hybrid combinations of the above
  • High-throughput online systems, mostly focused on resolving relationships
    between coded concepts and valuesets (e.g. to support semantic queries or CDS)
  • Low-throughput online systems, mostly focused on lookups (e.g. to support CDS authoring tools)
  • Low-throughput offline systems, mostly focused on maintenance (e.g. to support maintenance tools)

Current action items:

Specifications

 

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References and Links:

An initial email thread discussing the topic (Oct 29, 2015)