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There are four significant areas of medical knowledge that need to be represented in systems for clinical interoperability to be successful. Attempting to rely on one area Attempts at clinical interoperability using only one level of mapping (e.g. semantic) without the necessary information from another (e.g. traceability) will result in failurejeopardize patient safety.

  • Semantic/ontological relationships

    • Defined terminology mappings assigned to IVDs

  • Clinical reference standard traceability/harmonization status

    • Direct comparability of laboratory results requires the knowledge of whether those results are both traceable to a reference standard material or harmonization procedure.

  • Clinical interpretation data elements

    • E.g. result value, units, reference range, specimen type

  • Device/manufacturer data elements

    • E.g. UDI for device, kit

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Use Case

A laboratory is adding a new test to its menu. By querying the LIDR, the laboratory is able to define appropriate terminology code mappings for its test, and they are also able to determine that the test is traceable to an international reference standard.

A health information exchange (HIE) receives information from an EHR about laboratory tests. They receive information about the test, its code, and the device that performed it, but not the traceability information. They are able to query the central repository to access the missing traceability information.

A laboratory wants to know if it can safely treat tests from two different IVDs as comparable enough for its clinicians to treat them as interchangeable. The laboratory queries the traceability repository and determines that one of the tests is not standardized or harmonized; it decides not to treat the tests as equivalent.

An IVD vendor creates a new IVD. Using intuitive authoring tools, The vendor publishes the new IVD to the LIDR and includes necessary information regarding recommended terminology codes, the device in use, and information about the traceability of the analyte measurement process.

Key Initiatives & Action Items

  • Define semantic resource solution

  • Define necessary identifiers and data elements re: LIDR, UDI, standardization/harmonization

  • Engage health IT vendors on new functionality required to support transfer of necessary data elements

  • Engage pre-existing traceability community and its efforts

  • Develop LIDR Implementation Help Portal

  • Flat file and web access to necessary static data sources

Deliverables

  • Laboratory Interoperability Data Resources (LIDR)

  • Controlled Terminology and Semantic Resource

  • UDI Repository

  • Reference Standard/Harmonization Hub

  • Grouping determination re: standardization/harmonization