Your browser doesn't support javascript.
loading
Multi-Institutional Collaborative Research Using Ophthalmic Medical Image Data Standardized by Radiology Common Data Model (R-CDM).
Park, ChulHyoung; Park, Sang Jun; Lee, Da Yun; You, Seng Chan; Lee, Kihwang; Park, Rae Woong.
Affiliation
  • Park C; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Park SJ; Department of Ophthalmology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Lee DY; Department of Ophthalmology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • You SC; Department of Biomedicine Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Lee K; Department of Ophthalmology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Park RW; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.
Stud Health Technol Inform ; 310: 48-52, 2024 Jan 25.
Article in En | MEDLINE | ID: mdl-38269763
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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiology / Face Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Document type: Article Publication country: HOLANDA / HOLLAND / NETHERLANDS / NL / PAISES BAJOS / THE NETHERLANDS

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiology / Face Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Document type: Article Publication country: HOLANDA / HOLLAND / NETHERLANDS / NL / PAISES BAJOS / THE NETHERLANDS