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Enabling Agile Clinical and Translational Data Warehousing: Platform Development and Evaluation.

Helmut SpenglerClaudia LangTanmaya MahapatraIngrid GatzKlaus A KuhnFabian Prasser
Published in: JMIR medical informatics (2020)
Our platform significantly reduces the efforts required for managing clinical and translational warehouses and for loading data in various formats and structures, such as complex entity-attribute-value structures often found in laboratory data. Moreover, it facilitates the iterative refinement of data representations in the target platforms, as the required configuration files are very compact. The quantitative measurements presented are consistent with our experiences of significantly reduced efforts for building warehousing platforms in close cooperation with medical researchers. Both the cloud-based hosting infrastructure and the data-loading pipeline are available to the community as open source software with comprehensive documentation.
Keyphrases
  • electronic health record
  • big data
  • healthcare
  • data analysis
  • high throughput
  • machine learning
  • computed tomography
  • mass spectrometry
  • magnetic resonance
  • working memory
  • dual energy