Medizinische Universität Graz - Research portal
Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Rodrigues, JM; Schulz, S; Mizen, B; Rector, A; Serir, S.
Is the Application of SNOMED CT Concept Model sufficiently Quality Assured?
AMIA Annu Symp Proc. 2017; 2017: 1488-1497.
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PubMed
- Co-authors Med Uni Graz
- Schulz Stefan
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- Abstract:
- The terminological content of SNOMED CT, the world's largest clinical terminology is linked to description logics expressions, which give support to consider SNOMED CT a formal ontology. The Terminology Quality Assurance (TQA) of such a terminology resource is hampered by errors in modeling, which act as a barrier for the successful use of electronic health records to ensure semantic interoperability. One application case is the new version of ICD, now in its pre-final form, the content of which is based on a subset of SNOMED CT. The ongoing alignment exercise has highlighted significant modeling issues in more than one third of cases that contrasted SNOMED CT concept model instances with the intuitive meaning given by their Fully Specified Names or synonyms lexically mapped to ICD-11 class names. We recommend prioritizing SNOMED CT TQA on the subset of the core SNOMED CT content to constitute the always true common ontology between SNOMED CT and ICD-11.