Literature DB >> 23920573

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

Jean-Marie Rodrigues1, Stefan Schulz, Alan Rector, Kent Spackman, Bedirhan Üstün, Christopher G Chute, Vincenzo Della Mea, Jane Millar, Kristina Brand Persson.   

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.

Mesh:

Year:  2013        PMID: 23920573

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  8 in total

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Authors:  M Da Silveira; J C Dos Reis; C Pruski
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2.  A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization.

Authors:  Zhe He; James Geller; Yan Chen
Journal:  Artif Intell Med       Date:  2015-04-02       Impact factor: 5.326

3.  A Systematic Analysis of Term Reuse and Term Overlap across Biomedical Ontologies.

Authors:  Maulik R Kamdar; Tania Tudorache; Mark A Musen
Journal:  Semant Web       Date:  2017       Impact factor: 2.214

4.  The new International Classification of Diseases 11th edition: a comparative analysis with ICD-10 and ICD-10-CM.

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Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

Review 5.  Overview of ICD-11 architecture and structure.

Authors:  Christopher G Chute; Can Çelik
Journal:  BMC Med Inform Decis Mak       Date:  2022-05-16       Impact factor: 3.298

6.  Categorization of allergic disorders in the new World Health Organization International Classification of Diseases.

Authors:  Luciana Kase Tanno; Moises A Calderon; Bruce J Goldberg; Cezmi A Akdis; Nikolaos G Papadopoulos; Pascal Demoly
Journal:  Clin Transl Allergy       Date:  2014-11-28       Impact factor: 5.871

Review 7.  Health information technology in oncology practice: a literature review.

Authors:  G Fasola; M Macerelli; A Follador; K Rihawi; G Aprile; V Della Mea
Journal:  Cancer Inform       Date:  2014-12-01

8.  SNOMED CT standard ontology based on the ontology for general medical science.

Authors:  Shaker El-Sappagh; Francesco Franda; Farman Ali; Kyung-Sup Kwak
Journal:  BMC Med Inform Decis Mak       Date:  2018-08-31       Impact factor: 2.796

  8 in total

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