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'SNOMEDizing' Questionnaires for Standardizing Stroke Registry Data.

Research output: Contribution to journalResearch article

Abstract

International interoperability of healthcare and research data requires a commitment to standards. To this end, SNOMED CT was evaluated for representing questionnaire items of the European Registry of Stroke Care Quality using a complex annotation protocol. The agreement between validators and annotators was 72.4%. At least 64% of the information could be represented by using SNOMED CT only, including complex post-coordinations. 9% of the information would require an information model, and 14% the addition of new content to SNOMED CT. Next steps will be the creation of an annotation guideline for questionnaires, a specific reference set, and the combination of both with an information model such as HL7 FHIR.

Original languageEnglish
Pages (from-to)1453-1457
JournalStudies in Health Technology and Informatics
DOIs
Publication statusPublished - 22 Aug 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Branches of science

  • 102 Computer Sciences
  • 305 Other Human Medicine, Health Sciences
  • 301 Medical-Theoretical Sciences, Pharmacy
  • 602 Linguistics and Literature

Research Fields

  • Metabolism and Circulation

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