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Representing ICD-11 JLMMS Using IHTSDO Representation Formalisms.

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Area of Science:

  • Medical Informatics
  • Health Terminology Standards
  • Statistical Classification Systems

Background:

  • The 11th revision of the International Classification of Diseases (ICD-11) includes Joint Linearization for Mortality and Morbidity Statistics (JLMMS).
  • Representing statistical classifications using clinical terminologies like SNOMED CT is challenging due to differing structural properties.
  • Ensuring interoperability between SNOMED CT and ICD-11 is crucial for accurate health statistics.

Purpose of the Study:

  • To investigate the semantic representability of ICD-11 JLMMS content using SNOMED CT formalisms.
  • To evaluate the utility of IHTSDO Compositional Grammar (CG) and Expression Constraint Language (ECL) for this mapping.
  • To test the feasibility of this approach on a specific chapter of ICD-11.

Main Methods:

  • Utilizing SNOMED CT's Compositional Grammar (CG) for building coordinated expressions.
  • Employing SNOMED CT's Expression Constraint Language (ECL) as a query mechanism.
  • Applying these formalisms to the circulatory system chapter of ICD-11 JLMMS.

Main Results:

  • Demonstrated that SNOMED CT formalisms, specifically CG and ECL, can semantically represent ICD-11 JLMMS content.
  • Confirmed the feasibility of using these tools to bridge the gap between ontology-based terminologies and statistical classifications.
  • Successfully tested the method on the circulatory chapter, indicating potential for broader application.

Conclusions:

  • SNOMED CT formalisms (CG and ECL) offer a viable method for the semantic representation of ICD-11 JLMMS.
  • This approach facilitates inter-operation between SNOMED CT and ICD, enhancing data consistency.
  • The successful application to the circulatory chapter supports the generalizability of this method for health statistics.