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Healthcare Research and Analytics Data Infrastructure Solution: A Data Warehouse for Health Services Research.

Bunyamin OzaydinFerhat Devrim ZengulNurettin OnerSue S Feldman
Published in: Journal of medical Internet research (2020)
To address existing inefficiencies during the obtaining, extracting, preprocessing, cleansing, and filtering stages of data processing in health services research, we envision HRADIS as a full-service data warehouse integrating frequently used data sources, processes, and methods along with a variety of data analytics and visualization tools. This paper presents the application of the iterative process model to build such a solution. It also includes a discussion on several prominent issues, lessons learned, reflections and recommendations, and future considerations, as this model was applied.
Keyphrases
  • big data
  • electronic health record
  • healthcare
  • machine learning
  • magnetic resonance imaging
  • data analysis
  • computed tomography
  • magnetic resonance
  • drinking water
  • artificial intelligence
  • current status
  • deep learning