Semantic Alignment between ICD-11 and SNOMED CT

Jean Marie Rodrigues, David Robinson, Vincenzo Della Mea, James Campbell, Alan Rector, Stefan Schulz, Hazel Brear, Bedirhan Üstün, Kent Spackman, Christopher G. Chute, Jane Millar, Harold Solbrig, Kristina Brand Persson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationMEDINFO 2015
Subtitle of host publicationeHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics
EditorsAndrew Georgiou, Indra Neil Sarkar, Paulo Mazzoncini de Azevedo Marques
PublisherIOS Press
Pages790-794
Number of pages5
ISBN (Electronic)9781614995630
DOIs
StatePublished - 2015
Event15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, Brazil
Duration: Aug 19 2015Aug 23 2015

Publication series

NameStudies in Health Technology and Informatics
Volume216
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
Country/TerritoryBrazil
CitySao Paulo
Period8/19/158/23/15

Keywords

  • Classification
  • ICD
  • Ontology
  • SNOMED CT
  • Standards
  • Terminology

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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