Cited 0 times in Scipus Cited Count

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

DC Field Value Language
dc.contributor.authorPark, C-
dc.contributor.authorPark, SJ-
dc.contributor.authorLee, DY-
dc.contributor.authorYou, SC-
dc.contributor.authorLee, K-
dc.contributor.authorPark, RW-
dc.date.accessioned2024-03-14T04:52:37Z-
dc.date.available2024-03-14T04:52:37Z-
dc.date.issued2024-
dc.identifier.issn1879-8365-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/32343-
dc.description.abstractObservational 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.isoen-
dc.subject.MESHElectronic Health Records-
dc.subject.MESHFace-
dc.subject.MESHHumans-
dc.subject.MESHRadiography-
dc.subject.MESHRadiology-
dc.subject.MESHRetina-
dc.titleMulti-Institutional Collaborative Research Using Ophthalmic Medical Image Data Standardized by Radiology Common Data Model (R-CDM)-
dc.typeArticle-
dc.identifier.pmid38269763-
dc.subject.keyworddata standardization-
dc.subject.keywordMedical imaging data-
dc.subject.keywordophthalmology-
dc.contributor.affiliatedAuthorLee, K-
dc.contributor.affiliatedAuthorPark, RW-
dc.type.localJournal Papers-
dc.identifier.doi10.3233/SHTI230925-
dc.citation.titleStudies in health technology and informatics-
dc.citation.volume310-
dc.citation.date2024-
dc.citation.startPage48-
dc.citation.endPage52-
dc.identifier.bibliographicCitationStudies in health technology and informatics, 310. : 48-52, 2024-
dc.identifier.eissn0926-9630-
dc.relation.journalidJ018798365-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Ophthalmology
Journal Papers > School of Medicine / Graduate School of Medicine > Biomedical Informatics
Files in This Item:
38269763.pdfDownload

qrcode

해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse