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

Authors
 Park, ChulHyoung  ;  Park, Sang Jun  ;  Lee, Da Yun  ;  You, Seng Chan  ;  Lee, Kihwang  ;  Park, Woong 
Citation
 MEDINFO 2023 - THE FUTURE IS ACCESSIBLE, Vol.310 : 48-52, 2024-01 
Journal Title
Studies in Health Technology and Informatics
ISSN
 0926-9630 
Issue Date
2024-01
Keywords
Medical imaging data ; data standardization ; ophthalmology
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.
DOI
10.3233/SHTI230925
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
Yonsei Authors
You, Seng Chan(유승찬) ORCID logo https://orcid.org/0000-0002-5052-6399
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/201871
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