Literature DB >> 29854218

Is the Application of SNOMED CT Concept Model sufficiently Quality Assured?

J M Rodrigues1,2, S Schulz3, B Mizen1, A Rector4, S Serir1.   

Abstract

The terminological content of SNOMED CT, the world's largest clinical terminology is linked to description logics expressions, which give support to consider SNOMED CT a formal ontology. The Terminology Quality Assurance (TQA) of such a terminology resource is hampered by errors in modeling, which act as a barrier for the successful use of electronic health records to ensure semantic interoperability. One application case is the new version of ICD, now in its pre-final form, the content of which is based on a subset of SNOMED CT. The ongoing alignment exercise has highlighted significant modeling issues in more than one third of cases that contrasted SNOMED CT concept model instances with the intuitive meaning given by their Fully Specified Names or synonyms lexically mapped to ICD-11 class names. We recommend prioritizing SNOMED CT TQA on the subset of the core SNOMED CT content to constitute the always true common ontology between SNOMED CT and ICD-11.

Mesh:

Year:  2018        PMID: 29854218      PMCID: PMC5977666     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  4 in total

1.  Scalable quality assurance for large SNOMED CT hierarchies using subject-based subtaxonomies.

Authors:  Christopher Ochs; James Geller; Yehoshua Perl; Yan Chen; Junchuan Xu; Hua Min; James T Case; Zhi Wei
Journal:  J Am Med Inform Assoc       Date:  2014-10-21       Impact factor: 4.497

2.  Scalability of abstraction-network-based quality assurance to large SNOMED hierarchies.

Authors:  Christopher Ochs; Yehoshua Perl; James Geller; Michael Halper; Huanying Gu; Yan Chen; Gai Elhanan
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

3.  Representing ICD-11 JLMMS Using IHTSDO Representation Formalisms.

Authors:  Marzouk Mamou; Alan Rector; Stefan Schulz; James Campbell; Harold Solbrig; Jean-Marie Rodrigues
Journal:  Stud Health Technol Inform       Date:  2016

4.  Structural Patterns under X-Rays: Is SNOMED CT Growing Straight?

Authors:  Pablo López-García; Stefan Schulz
Journal:  PLoS One       Date:  2016-11-03       Impact factor: 3.240

  4 in total
  1 in total

1.  Diagnostic code agreement for electronic health records and claims data for tuberculosis.

Authors:  S A Iqbal; C J Isenhour; G Mazurek; B I Truman
Journal:  Int J Tuberc Lung Dis       Date:  2020-07-01       Impact factor: 2.373

  1 in total

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