Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Schulz, S; Martínez, Costa, C.
Semantic Representation of Medical Data Collection Forms Using Standards.
Stud Health Technol Inform. 2025; 327:708-712
Doi: 10.3233/SHTI250440
PubMed
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- Führende Autor*innen der Med Uni Graz
- Schulz Stefan
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- Abstract:
- Data collection forms and questionnaires are widely used to capture patient data, but their development often receives insufficient attention. The RES-Q+ project aims to semantically standardise a widely used international stroke registry data collection form using interoperability standards such as SNOMED CT and HL7 FHIR, pursuing a canonical, knowledge-graph-based representation as an ultimate goal. We analysed patterns in this RES-Q data collection form to derive general principles for improving the design and semantic alignment of medical forms. We studied the way how residuals such as "none", "other" and "unknown" can be modelled using SNOMED CT codes bound to FHIR resources.
- Find related publications in this database (using NLM MeSH Indexing)
- Semantics - administration & dosage
- Systematized Nomenclature of Medicine - administration & dosage
- Humans - administration & dosage
- Electronic Health Records - standards
- Stroke - diagnosis
- Health Information Interoperability - standards
- Registries - standards
- Natural Language Processing - administration & dosage
- Data Collection - standards