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Related Experiment Videos

Evaluating alignment quality between iconic language and reference terminologies using similarity metrics.

Nicolas Griffon1, Gaetan Kerdelhué, Lina F Soualmia

  • 1CISMeF, Rouen University Hospital, Normandy & TIBS, LITIS EA 4108, Institute for Research and Innovation in Biomedicine, Rouen, France. nicolas.griffon@chu-rouen.fr.

BMC Medical Informatics and Decision Making
|March 13, 2014
PubMed
Summary
This summary is machine-generated.

This study aligned Medical Subject Headings (MeSH) and International Classification of Diseases (ICD10) to Visualization of Concepts in Medicine (VCM), showing strong agreement for improved information retrieval in electronic health records.

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Area of Science:

  • Medical Informatics
  • Biomedical Data Standards
  • Information Retrieval

Background:

  • Visualization of Concepts in Medicine (VCM) is a compositional iconic language designed to enhance information retrieval from electronic health records (EHR) and clinical guidelines.
  • Effective use of VCM in medical applications necessitates alignment with established medical reference terminologies.
  • This study presents alignments from the Medical Subject Headings (MeSH) thesaurus and the International Classification of Diseases, 10th Revision (ICD10) to VCM.

Purpose of the Study:

  • To evaluate the quality of alignment between VCM and other medical terminologies (MeSH and ICD10).
  • To assess inter-alignment agreement using various metrics before integrating VCM into EHR systems.
  • To identify sources of discrepancies in the alignment process.

Main Methods:

  • Hierarchically organized MeSH and ICD10 terminologies were aligned to VCM.
  • MeSH to VCM alignments were performed both automatically and manually, with manual alignments validated.
  • ICD10 to VCM alignment was conducted entirely manually.
  • Inter-alignment agreement was assessed using binary comparison, crude Dice Similarity Coefficient (DSCcrude), and semantic Dice Similarity Coefficient (DSCsemantic) on shared Unified Medical Language System (UMLS) Concept Unique Identifiers.

Main Results:

  • The MeSH to VCM alignment yielded 10,783 relations, while the ICD10 to VCM alignment produced 19,852 relations.
  • Analysis of 1,606 shared UMLS Concept Unique Identifiers between ICD10 and MeSH revealed strong inter-alignment agreement.
  • Validated MeSH to VCM alignments showed 74.2% agreement, DSCcrude of 0.93, and DSCsemantic of 0.96.
  • Discrepancy analysis indicated that while reviewers contributed two-thirds of errors, UMLS was responsible for one-third.

Conclusions:

  • The study demonstrated strong overall inter-alignment agreement for manual alignments between MeSH to VCM and ICD10 to VCM.
  • These validated VCM alignments facilitate enhanced information retrieval.
  • VCM icons have been successfully integrated into a guideline search engine and a health terminologies portal.