Towards privacy-preserving computing on distributed electronic health record data

  • Authors:

  • Kassaye Yitbarek Yigzaw;Johan Gustav Bellika;Anders Andersen;Gunnar Hartvigsen;Carlos Fernandez-Llatas

  • Affiliations:

  • University of Tromsø, Norway;University of Tromsø, Norway and University Hospital of North Norway;University of Tromsø, Norway;University of Tromsø, Norway and University Hospital of North Norway;Polytechnic University of Valencia, Spain

  • Venue:
  • Proceedings of the 2013 Middleware Doctoral Symposium
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

The paper reports on work in progress towards construction of a peer-to-peer framework for privacy preserving computing on distributed electronic health data. The framework supports three different types of federated queries. For privacy-preserving computing, we proposed distributed secure multi-party computation (SMC), where each peer is only involved in secure computations with some of the peers. We hypothesize distributed SMC could enable to achieve more efficient and scalable computing solutions. The architecture of the framework is also described.