'SNOMEDizing' Questionnaires for Standardizing Stroke Registry Data
Riedel A, Schulz S, Martínez Costa C (2024)
Publication Type: Conference contribution
Publication year: 2024
Journal
Publisher: IOS Press BV
Book Volume: 316
Pages Range: 1453-1457
Conference Proceedings Title: Studies in Health Technology and Informatics
Event location: Athens, GRC
ISBN: 9781643685335
DOI: 10.3233/SHTI240687
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.
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Austria (AT)
Spain (ES)How to cite
APA:
Riedel, A., Schulz, S., & Martínez Costa, C. (2024). 'SNOMEDizing' Questionnaires for Standardizing Stroke Registry Data. In John Mantas, Arie Hasman, George Demiris, Kaija Saranto, Michael Marschollek, Theodoros N. Arvanitis, Ivana Ognjanovic, Arriel Benis, Parisis Gallos, Emmanouil Zoulias, Elisavet Andrikopoulou (Eds.), Studies in Health Technology and Informatics (pp. 1453-1457). Athens, GRC: IOS Press BV.
MLA:
Riedel, Andrea, Stefan Schulz, and Catalina Martínez Costa. "'SNOMEDizing' Questionnaires for Standardizing Stroke Registry Data." Proceedings of the 34th Medical Informatics Europe Conference, MIE 2024, Athens, GRC Ed. John Mantas, Arie Hasman, George Demiris, Kaija Saranto, Michael Marschollek, Theodoros N. Arvanitis, Ivana Ognjanovic, Arriel Benis, Parisis Gallos, Emmanouil Zoulias, Elisavet Andrikopoulou, IOS Press BV, 2024. 1453-1457.
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