Published on in Vol 21, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13249, first published .
Genomic Common Data Model for Seamless Interoperation of Biomedical Data in Clinical Practice: Retrospective Study

Genomic Common Data Model for Seamless Interoperation of Biomedical Data in Clinical Practice: Retrospective Study

Genomic Common Data Model for Seamless Interoperation of Biomedical Data in Clinical Practice: Retrospective Study

Journals

  1. Park R. The Distributed Research Network, Observational Health Data Sciences and Informatics, and the South Korean Research Network. The Korean Journal of Medicine 2019;94(4):309 View
  2. Chuang L, Yang C, Yang H, Yang C. Identification of High-Order Single-Nucleotide Polymorphism Barcodes in Breast Cancer Using a Hybrid Taguchi-Genetic Algorithm: Case-Control Study. JMIR Medical Informatics 2020;8(6):e16886 View
  3. Unberath P, Prokosch H, Gründner J, Erpenbeck M, Maier C, Christoph J. EHR-Independent Predictive Decision Support Architecture Based on OMOP. Applied Clinical Informatics 2020;11(03):399 View
  4. Gruendner J, Wolf N, Tögel L, Haller F, Prokosch H, Christoph J. Integrating Genomics and Clinical Data for Statistical Analysis by Using GEnome MINIng (GEMINI) and Fast Healthcare Interoperability Resources (FHIR): System Design and Implementation. Journal of Medical Internet Research 2020;22(10):e19879 View
  5. Cho J, Kang Y, Park Y. Secure Delivery Scheme of Common Data Model for Decentralized Cloud Platforms. Applied Sciences 2020;10(20):7134 View
  6. Li B, Tsui R. How to Improve the Reuse of Clinical Data-- openEHR and OMOP CDM. Journal of Physics: Conference Series 2020;1624(3):032041 View
  7. Oh S, Sung M, Rhee Y, Hong N, Park Y. Evaluation of the Privacy Risks of Personal Health Identifiers and Quasi-Identifiers in a Distributed Research Network: Development and Validation Study. JMIR Medical Informatics 2021;9(5):e24940 View
  8. Park C, You S, Jeon H, Jeong C, Choi J, Park R. Development and Validation of the Radiology Common Data Model (R-CDM) for the International Standardization of Medical Imaging Data. Yonsei Medical Journal 2022;63(Suppl):S74 View
  9. HIRAMATSU T. 5 . Taking Advantage of the Global RWD Standard ―OMOP CDM and OHDSI―. Japanese Journal of Pharmacoepidemiology/Yakuzai ekigaku 2022;27(1):34 View
  10. Ko S, Park S, Chang D. Experience of Converting Clinical Data Warehouse to Common Data Model and Additional Data Loading. Health Insurance Review & Assessment Service Research 2021;1(2):179 View
  11. Ahmadi N, Peng Y, Wolfien M, Zoch M, Sedlmayr M. OMOP CDM Can Facilitate Data-Driven Studies for Cancer Prediction: A Systematic Review. International Journal of Molecular Sciences 2022;23(19):11834 View
  12. Kim T, Noh S, Kim Y, Lee C, Kim J, Jeong C, Yoon K. Development and validation of a management system and dataset quality assessment tool for the Radiology Common Data Model (R_CDM): A case study in liver disease. International Journal of Medical Informatics 2022;162:104759 View
  13. Botsis T, Murray J, Ghanem P, Balan A, Kernagis A, Hardart K, He T, Spiker J, Kreimeyer K, Tao J, Baras A, Yegnasubramanian S, Canzoniero J, Anagnostou V, Pratilas C, Xian R, Gocke C, Lin M, Halper-Stromberg E, Zou Y, Olayinka-Kamson D, Schreck K, Grossman S, Fiallos K, Petry D, Visvanathan K, Wolff A, Santa-Maria C, Nunez R, Meyer C, Laterra J, Sterns V, Smith K, Armstrong D, Karchin R, Karaindrou K, Zandi L, Majcherska-Agrawal M, Too F, Dobs A, Moore J, Pindzola A, Akunyili I, Fatteh M, Lehman J. Precision Oncology Core Data Model to Support Clinical Genomics Decision Making. JCO Clinical Cancer Informatics 2023;(7) View
  14. Dobbins N, Han B, Zhou W, Lan K, Kim H, Harrington R, Uzuner Ö, Yetisgen M. LeafAI: query generator for clinical cohort discovery rivaling a human programmer. Journal of the American Medical Informatics Association 2023;30(12):1954 View
  15. Jeon K, Park W, Kahn C, Nagy P, You S, Yoon S. Advancing Medical Imaging Research Through Standardization. Investigative Radiology 2024 View
  16. Oyovwi M, Ohwin E, Rotu R, Olowe T. Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review. JMIR Bioinformatics and Biotechnology 2024;5:e58439 View

Books/Policy Documents

  1. Kim S, Jeong C, Kim T, Lee C, Noh S, Kim J, Yoon K. Intelligent Systems and Applications. View
  2. Bernasconi A, García S. A. Reference Module in Life Sciences. View