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Multi-Institutional Collaborative Research Using Ophthalmic Medical Image Data Standardized by Radiology Common Data Model (R-CDM)
DC Field | Value | Language |
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dc.contributor.author | 유승찬 | - |
dc.date.accessioned | 2025-02-03T08:47:45Z | - |
dc.date.available | 2025-02-03T08:47:45Z | - |
dc.date.issued | 2024-01 | - |
dc.identifier.issn | 0926-9630 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/201871 | - |
dc.description.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. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | IOS Press | - |
dc.relation.isPartOf | Studies in Health Technology and Informatics | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Electronic Health Records | - |
dc.subject.MESH | Face* | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Radiography | - |
dc.subject.MESH | Radiology* | - |
dc.subject.MESH | Retina / diagnostic imaging | - |
dc.title | Multi-Institutional Collaborative Research Using Ophthalmic Medical Image Data Standardized by Radiology Common Data Model (R-CDM) | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) | - |
dc.contributor.googleauthor | ChulHyoung Park | - |
dc.contributor.googleauthor | Sang Jun Park | - |
dc.contributor.googleauthor | Da Yun Lee | - |
dc.contributor.googleauthor | Seng Chan You | - |
dc.contributor.googleauthor | Kihwang Lee | - |
dc.contributor.googleauthor | Rae Woong Park | - |
dc.identifier.doi | 10.3233/SHTI230925 | - |
dc.contributor.localId | A02478 | - |
dc.relation.journalcode | J02693 | - |
dc.identifier.pmid | 38269763 | - |
dc.identifier.url | https://ebooks.iospress.nl/doi/10.3233/SHTI230925 | - |
dc.subject.keyword | Medical imaging data | - |
dc.subject.keyword | data standardization | - |
dc.subject.keyword | ophthalmology | - |
dc.contributor.alternativeName | You, Seng Chan | - |
dc.contributor.affiliatedAuthor | 유승찬 | - |
dc.citation.volume | 310 | - |
dc.citation.startPage | 48 | - |
dc.citation.endPage | 52 | - |
dc.identifier.bibliographicCitation | Studies in Health Technology and Informatics, Vol.310 : 48-52, 2024-01 | - |
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