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Multi-Institutional Collaborative Research Using Ophthalmic Medical Image Data Standardized by Radiology Common Data Model (R-CDM)

Authors
Park, C | Park, SJ | Lee, DY | You, SC | Lee, K  | Park, RW
Citation
Studies in health technology and informatics, 310. : 48-52, 2024
Journal Title
Studies in health technology and informatics
ISSN
1879-83650926-9630
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.
Keywords

MeSH

DOI
10.3233/SHTI230925
PMID
38269763
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Ophthalmology
Journal Papers > School of Medicine / Graduate School of Medicine > Biomedical Informatics
Ajou Authors
박, 래웅  |  이, 기황
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