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OpenHealth

Exploiting RWE* data outside of an EDS environment

Challenges

  • Manage complex data (several billion rows, multi-table, time series)
  • Industrialize automatic monthly processing with anonymization scripts for simplified use
  • Maintain a good level of utility while ensuring compliance with the CNIL standard on Health Data Warehouses

ROI

  • Generation of a risk analysis making it possible to assess the level of confidentiality of the data generated according to the three criteria defined by the EDPS (ex G29)
  • Reexploitation of RWE data outside EDS for secondary uses
  • Preservation of statistical value of the data set ensuring its reuse for various uses (scientific studies, AI training...)
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