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 language | English |
|---|---|
| Pages (from-to) | 1453-1457 |
| Journal | Studies in Health Technology and Informatics |
| DOIs | |
| Publication status | Published - 22 Aug 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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