The SERUMS tool-chain: Ensuring security and privacy of medical data in smart patient-centric healthcare systems

V. Janjic, J. Küster Filipe Bowles, A. Vermeulen, A. Silvina, M. Belk, C. Fidas, A. Pitsillides, M. Kumar, M. Roßbory, M. Vinov, T. Given-Wilson, A. Legay, E. Blackledge, R. Arredouani, G. Stylianou, W. Huang. The SERUMS tool-chain: Ensuring security and privacy of medical data in smart patient-centric healthcare systems. pages 2726-2735, DOI 10.1109/BigData47090.2019.9005600, 2, 2020.

Autoren
  • V. Janjic
  • Juliana Küster Filipe Bowles
  • A.F. Vermeulen
  • A. Silvina
  • M. Belk
  • C. Fidas
  • A. Pitsillides
  • Mohit Kumar
  • Michael Roßbory
  • M. Vinov
  • T. Given-Wilson
  • A. Legay
  • E. Blackledge
  • R. Arredouani
  • G. Stylianou
  • W. Huang
BuchProceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData 2019)
TypIn Konferenzband
VerlagIEEE
DOI10.1109/BigData47090.2019.9005600
ISBN978-1-7281-0859-9
Monat2
Jahr2020
Seiten2726-2735
Abstract

Future-generation healthcare systems will be highly distributed, combining centralised hospital systems with decentralised home-, work-and environment-based monitoring and diagnostics systems. These will reduce costs and injury-related risks whilst both improving quality of service, and reducing the response time for diagnostics and treatments made available to patients. To make this vision possible, medical data must be accessed and shared over a variety of mediums including untrusted networks. In this paper, we present the design and initial implementation of the SERUMS tool-chain for accessing, storing, communicating and analysing highly confidential medical data in a safe, secure and privacy-preserving way. In addition, we describe a data fabrication framework for generating large volumes of synthetic but realistic data, that is used in the design and evaluation of the tool-chain. We demonstrate the present version of our technique on a use case derived from the Edinburgh Cancer Centre, NHS Lothian, where information about the effects of chemotherapy treatments on cancer patients is collected from different distributed databases, analysed and adapted to improve ongoing treatments.