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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 | Park, C | - |
dc.contributor.author | Park, SJ | - |
dc.contributor.author | Lee, DY | - |
dc.contributor.author | You, SC | - |
dc.contributor.author | Lee, K | - |
dc.contributor.author | Park, RW | - |
dc.date.accessioned | 2024-03-14T04:52:37Z | - |
dc.date.available | 2024-03-14T04:52:37Z | - |
dc.date.issued | 2024 | - |
dc.identifier.issn | 1879-8365 | - |
dc.identifier.uri | http://repository.ajou.ac.kr/handle/201003/32343 | - |
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.language.iso | en | - |
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 | - |
dc.title | Multi-Institutional Collaborative Research Using Ophthalmic Medical Image Data Standardized by Radiology Common Data Model (R-CDM) | - |
dc.type | Article | - |
dc.identifier.pmid | 38269763 | - |
dc.subject.keyword | data standardization | - |
dc.subject.keyword | Medical imaging data | - |
dc.subject.keyword | ophthalmology | - |
dc.contributor.affiliatedAuthor | Lee, K | - |
dc.contributor.affiliatedAuthor | Park, RW | - |
dc.type.local | Journal Papers | - |
dc.identifier.doi | 10.3233/SHTI230925 | - |
dc.citation.title | Studies in health technology and informatics | - |
dc.citation.volume | 310 | - |
dc.citation.date | 2024 | - |
dc.citation.startPage | 48 | - |
dc.citation.endPage | 52 | - |
dc.identifier.bibliographicCitation | Studies in health technology and informatics, 310. : 48-52, 2024 | - |
dc.identifier.eissn | 0926-9630 | - |
dc.relation.journalid | J018798365 | - |
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