Privacy within SHAARPEC is protected by hosting the platform and data within the healthcare system and pseudo-anonymizing the clinical data.

Research and benchmarking are made feasible without breaching GDPR and HIPAA by applying several techniques, such as

  • Secure multiparty computation
  • Homomorphic encryption
  • Federated learning

Grouped together, we call these techniques Base Jumping. Base Jumping makes it possible to run queries across all systems and return the results to one centralized node, while the data itself stays within the local healthcare system.

This allows not only for benchmarking between the systems, but also faster and more accurate training of AM/machine learning algorithms.

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