Back to Search Start Over

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

Authors :
PARK, ChulHyoung
PARK, Sang Jun
Da Yun LEE
Seng Chan YOU
Kihwang LEE
PARK, Rae Woong
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]

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