The Serums Tool-Chain: Ensuring Security and Privacy of Medical Data in Smart Patient-Centric Healthcare Systems

Vladimir Janjic, Juliana Bowles, Andreas Vermeulen, Agastya Silvina, Marios Belk, Christos Fidas, Andreas Pitsillides, Mohit Kumar, Michael Rossbory, Michael Vinov, Thomas Given-Wilson, Axel Legay, Euan Blackledge, Rachic Arredouani, Georgios Stylianou, Wanting Huang

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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 injuryrelated 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.
Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
EditorsChaitanya Baru, Jun Huan, Latifur Khan, Xiaohua Tony Hu, Ronay Ak, Yuanyuan Tian, Roger Barga, Carlo Zaniolo, Kisung Lee, Yanfang Fanny Ye
PublisherIEEE
Pages2726-2735
Number of pages10
ISBN (Electronic)9781728108582
DOIs
Publication statusPublished - 24 Feb 2020

Publication series

NameProceedings - 2019 IEEE International Conference on Big Data, Big Data 2019

Keywords

  • Data Sharing
  • Medical data
  • Personalised Medicine
  • Privacy
  • Security
  • Smart Healthcare

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    Janjic, V., Bowles, J., Vermeulen, A., Silvina, A., Belk, M., Fidas, C., Pitsillides, A., Kumar, M., Rossbory, M., Vinov, M., Given-Wilson, T., Legay, A., Blackledge, E., Arredouani, R., Stylianou, G., & Huang, W. (2020). The Serums Tool-Chain: Ensuring Security and Privacy of Medical Data in Smart Patient-Centric Healthcare Systems. In C. Baru, J. Huan, L. Khan, X. T. Hu, R. Ak, Y. Tian, R. Barga, C. Zaniolo, K. Lee, & Y. F. Ye (Eds.), Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019 (pp. 2726-2735). [9005600] (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019). IEEE. https://doi.org/10.1109/BigData47090.2019.9005600