Sharing ontology between ICD 11 and SNOMED CT will enable seamless Re-use and semantic interoperability

Jean Marie Rodrigues, Stefan Schulz, Alan Rector, Kent Spackman, Bedirhan Üstün, Christopher G. Chute, Vincenzo Della Mea, Jane Millar, Kristina Brand Persson

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

18 Scopus citations

Abstract

In order to support semantic interoperability in eHealth systems, domain terminologies need to be carefully designed. SNOMED CT and the upcoming ICD-11 represent a new generation of ontology-based terminologies and classifications. The proposed alignment of these two systems and, in consequence, the validity of their cross-utilisation requires a thorough analysis of the intended meaning of their representational units. We present the ICD11 SNOMED CT harmonization process including: a) the clarification of the interpretation of codes in both systems as representing situations rather than conditions, b) the principles proposed for aligning the two systems with the help of a common ontology, c) the high level design of this common ontology, and d) further ontology-driven issues that have arisen in the course of this work.

Original languageEnglish (US)
Title of host publicationMEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics
PublisherIOS Press
Pages343-346
Number of pages4
Edition1-2
ISBN (Print)9781614992882
DOIs
StatePublished - 2013
Externally publishedYes
Event14th World Congress on Medical and Health Informatics, MEDINFO 2013 - Copenhagen, Denmark
Duration: Aug 20 2013Aug 23 2013

Publication series

NameStudies in Health Technology and Informatics
Number1-2
Volume192
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other14th World Congress on Medical and Health Informatics, MEDINFO 2013
Country/TerritoryDenmark
CityCopenhagen
Period8/20/138/23/13

Keywords

  • Classification
  • ICD
  • Ontology
  • SNOMED CT
  • Terminology

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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