ICD-11 (JLMMS) and SCT Inter-Operation

Marzouk Mamou, Alan Rector, Stefan Schulz, James Campbell, Harold Solbrig, Jean Marie Rodrigues

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

3 Scopus citations


The goal of this work is to contribute to a smooth and semantically sound inter-operability between the ICD-11 (International Classification of Diseases-11th revision Joint Linearization for Mortality, Morbidity and Statistics) and SNOMED CT (SCT). To guarantee such inter-operation between a classification, characterized by a single hierarchy of mutually exclusive and exhaustive classes, as is the JLMMS successor of ICD-10 on the one hand, and the multi-hierarchical, ontology-based clinical terminology SCT on the other hand, we use ontology axioms that logically express generalizable truths. This is expressed by the compositional grammar of SCT, together with queries on axiomsof SCT. We test the feasibility of the method on the circulatory chapter of ICD-11 JLMMS and present limitations and results.

Original languageEnglish (US)
Title of host publicationHealth Informatics Meets eHealth
Subtitle of host publicationPredictive Modeling in Healthcare - From Prediction to Prevention, Proceedings of the 10th eHealth 2016 Conference
EditorsElske Ammenwerth, Gunter Schreier, Alexander Horbst, Dieter Hayn
PublisherIOS Press
Number of pages6
ISBN (Electronic)9781614996446
StatePublished - 2016
Externally publishedYes
Event2016 10th Annual Conference on Health Informatics Meets eHealth, eHealth 2016 - Vienna, Austria
Duration: May 24 2016May 25 2016

Publication series

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


Other2016 10th Annual Conference on Health Informatics Meets eHealth, eHealth 2016


  • Alignment
  • ICD-11
  • Interoperation
  • Ontology
  • Terminology

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management


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