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Developing a common data model approach for DISCOVER CKD: A retrospective, global cohort of real-world patients with chronic kidney disease.

Supriya KumarMatthew ArnoldGlen JamesRema Padman
Published in: PloS one (2022)
This flexible CDM approach facilitates evidence generation from real-world data within the DISCOVER CKD retrospective cohort, providing novel insights into the epidemiology of CKD that may expedite improvements in diagnosis, prognosis, early intervention, and disease management. The adaptable architecture of this CDM approach ensures scalable, fast, and efficient application within other therapy areas to facilitate the combined analysis of different types of secondary data from multiple, heterogeneous sources.
Keyphrases
  • chronic kidney disease
  • electronic health record
  • big data
  • randomized controlled trial
  • cross sectional
  • stem cells
  • machine learning
  • data analysis