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Secondary use of routine data in hospitals: description of a scalable analytical platform based on a business intelligence system.

Jan A RothNicole GoebelThomas SakoparnigSimon NeubauerEleonore Kuenzel-PawlikMartin GerberAndreas F WidmerChristian AbshagenRakesh PadiyathBalthasar L Hugnull null
Published in: JAMIA open (2018)
We describe a scalable platform for research-oriented analyses of routine data in hospitals, which evolved from a state-of-the-art business intelligence architecture for enterprise resource planning. This platform involves an in-memory database management system for data modeling and analytics and a high-performance cluster for more computing-intensive analytical tasks. Setting up platforms for research-oriented analyses is a highly dynamic, time-consuming, and costly process. In some health care institutions, effective research platforms may be derived from existing business intelligence systems.
Keyphrases
  • healthcare
  • big data
  • electronic health record
  • high throughput
  • working memory
  • clinical practice
  • emergency department
  • machine learning
  • liquid chromatography
  • data analysis
  • social media
  • adverse drug
  • deep learning