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Is the Application of SNOMED CT Concept Model sufficiently Quality Assured?
J M Rodrigues1,2, S Schulz3, B Mizen1
1INSERM LIMICS UPMC UP 13 Paris, France.
Summary
Errors in SNOMED CT modeling hinder electronic health record interoperability. Prioritizing quality assurance on core SNOMED CT content can create a reliable common ontology for SNOMED CT and ICD-11.
Area of Science:
- Medical Informatics
- Ontology Engineering
- Clinical Terminology
Background:
- SNOMED CT is a formal ontology due to its link with description logic expressions.
- Terminology Quality Assurance (TQA) is crucial for clinical terminologies like SNOMED CT.
- Modeling errors in SNOMED CT impede the effective use of electronic health records (EHRs) and semantic interoperability.
Purpose of the Study:
- To identify and address modeling issues in SNOMED CT.
- To improve the alignment between SNOMED CT and the International Classification of Diseases, 11th Revision (ICD-11).
- To ensure semantic interoperability in healthcare data.
Main Methods:
- Analysis of SNOMED CT concept model instances.
- Comparison with Fully Specified Names and synonyms mapped to ICD-11 class names.
- Identification of modeling discrepancies through an alignment exercise.
Main Results:
- Significant modeling issues were found in over one-third of the analyzed SNOMED CT content.
- Discrepancies were observed between SNOMED CT concept model instances and their intended meaning.
- The alignment with ICD-11 highlighted practical modeling problems.
Conclusions:
- Prioritizing TQA on a core subset of SNOMED CT is recommended.
- This focused TQA can establish a consistent common ontology between SNOMED CT and ICD-11.
- Addressing modeling errors is essential for enhancing semantic interoperability and EHR usability.
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