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Multi-Institutional Collaborative Research Using Ophthalmic Medical Image Data Standardized by Radiology Common Data Model (R-CDM).
- Source :
- Medinfo; 2023, Vol. 310, p48-52, 5p
- Publication Year :
- 2023
-
Abstract
- Observational Medical Outcome Partners - Common Data Model (OMOP-CDM) is an international standard model for standardizing electronic medical record data. However, unstructured data such as medical image data which is beyond the scope of standardization by the current OMOP-CDM is difficult to be used in multi-institutional collaborative research. Therefore, we developed the Radiology-CDM (R-CDM) which standardizes medical imaging data. As a proof of concept, 737,500 Optical Coherence Tomography (OCT) data from two tertiary hospitals in South Korea is standardized in the form of R-CDM. The relationship between chronic disease and retinal thickness was analyzed by using the R-CDM. Central macular thickness and retinal nerve fiber layer (RNFL) thickness were significantly thinner in the patients with hypertension compared to the control cohort. It is meaningful in that multi-institutional collaborative research using medical image data and clinical data simultaneously can be conducted very efficiently. [ABSTRACT FROM AUTHOR]
- Subjects :
- STATISTICAL standards
ELECTRONIC health record standards
RESEARCH
HYPERTENSION
RETINA
NEURONS
CHRONIC diseases
CONFERENCES & conventions
TERTIARY care
ACQUISITION of data
DIAGNOSTIC imaging
COMPARATIVE studies
INTERPROFESSIONAL relations
MEDICAL records
THEORY
OPTICAL coherence tomography
RESEARCH funding
HOSPITAL radiological services
OPHTHALMOLOGY
DATA analysis
STATISTICAL models
LONGITUDINAL method
DISEASE complications
Subjects
Details
- Language :
- English
- ISSN :
- 15696332
- Volume :
- 310
- Database :
- Complementary Index
- Journal :
- Medinfo
- Publication Type :
- Conference
- Accession number :
- 175124418
- Full Text :
- https://doi.org/10.3233/SHTI230925