Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Rodrigues, JM; Robinson, D; Della Mea, V; Campbell, J; Rector, A; Schulz, S; Brear, H; Üstün, B; Spackman, K; Chute, CG; Millar, J; Solbrig, H; Brand Persson, K.
Semantic Alignment between ICD-11 and SNOMED CT.
Stud Health Technol Inform. 2015; 216: 790-794.
PubMed

 

Co-Autor*innen der Med Uni Graz
Schulz Stefan
Altmetrics:

Dimensions Citations:

Plum Analytics:
Abstract:
Due to fundamental differences in design and editorial policies, semantic interoperability between two de facto standard terminologies in the healthcare domain--the International Classification of Diseases (ICD) and SNOMED CT (SCT), requires combining two different approaches: (i) axiom-based, which states logically what is universally true, using an ontology language such as OWL; (ii) rule-based, expressed as queries on the axiom-based knowledge. We present the ICD-SCT harmonization process including: a) a new architecture for ICD-11, b) a protocol for the semantic alignment of ICD and SCT, and c) preliminary results of the alignment applied to more than half the domain currently covered by the draft ICD-11.
Find related publications in this database (using NLM MeSH Indexing)
Humans -
Information Dissemination -
International Classification of Diseases - standards
Semantics -
Systematized Nomenclature of Medicine -

© Med Uni Graz Impressum