The SERUMS tool-chain: Ensuring Security and Privacy of Medical Data in Smart Patient-Centric Healthcare Systems

被引:0
|
作者
Janjic, V. [1 ]
Bowles, J. K. F. [1 ]
Vermeulen, A. F. [1 ]
Silvina, A. [1 ]
Belk, M. [2 ]
Fidas, C. [2 ]
Pitsillides, A. [2 ]
Kumar, M. [3 ]
Rossbory, M. [3 ]
Vinov, M. [4 ]
Given-Wilson, T. [5 ]
Legay, A. [5 ]
Blackledge, E. [6 ]
Arredouani, R. [7 ]
Stylianou, G. [7 ]
Huang, W. [7 ]
机构
[1] Univ St Andrews, Sch Comp Sci, St Andrews, Fife, Scotland
[2] Univ Cyprus, Dept Comp Sci, Nicosia, Cyprus
[3] Software Competence Ctr Hagenberg, Data Anal Syst, Hagenberg, Austria
[4] IBM Res Lab, Haifa, Israel
[5] Catholic Univ Louvain, Louvain La Neuve, Belgium
[6] Sopra Steria, Edinburgh, Midlothian, Scotland
[7] Accenture BV, Amsterdam, Netherlands
基金
欧盟地平线“2020”;
关键词
Medical data; Smart Healthcare; Data Sharing; Privacy; Security; Personalised Medicine;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:2726 / 2735
页数:10
相关论文
共 16 条
  • [1] Security And Privacy Of Medical Data Challenges For Next-Generation Patient-Centric Healthcare Systems
    Janjic, Vladimir
    Bowles, Juliana
    Belk, Marios
    Pitsillides, Andreas
    [J]. ADJUNCT PUBLICATION OF THE 27TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (ACM UMAP '19 ADJUNCT), 2019, : 213 - 214
  • [2] Privacy and Security Issues for a Patient-centric Approach in Public Healthcare in a Resource Constrained Setting
    Pankomera, Richard
    van Greunen, Darelle
    [J]. 2016 IST-AFRICA WEEK CONFERENCE, 2016,
  • [3] Developing a Patient-Centric Healthcare IoT Platform with Blockchain and Smart Contract Data Management
    Duc, B. T.
    Trung, P. H. T.
    Trong, N. D. P.
    Phuc, N. T.
    Khoa, T. D.
    Khiem, H. G.
    Nam, B. T.
    Bang, L. K.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (04) : 1139 - 1146
  • [4] Introduction to the Special Section on Security and Privacy of Medical Data for Smart Healthcare
    Singh, Amit Kumar
    Wu, Jonathan
    Al-Haj, Ali
    Pu, Calton
    [J]. ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (03)
  • [5] Application of Blockchain to Patient-Centric Access Control in Medical Data Management Systems
    Ghaffaripour, Shadan
    Miri, Ali
    [J]. 2019 IEEE 10TH ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS AND MOBILE COMMUNICATION CONFERENCE (IEMCON), 2019, : 190 - 196
  • [6] HealthRec-Chain: Patient-centric blockchain enabled IPFS for privacy preserving scalable health data
    Kumari, Deepa
    Parmar, Abhirath Singh
    Goyal, Harshvadhan Sunil
    Mishra, Kushal
    Panda, Subhrakanta
    [J]. COMPUTER NETWORKS, 2024, 241
  • [7] Insights into security and privacy issues in smart healthcare systems based on medical images
    Yan, Fei
    Li, Nianqiao
    Iliyasu, Abdullah M.
    Salama, Ahmed S.
    Hirota, Kaoru
    [J]. JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2023, 78
  • [8] Applied data science in patient-centric healthcare: Adaptive analytic systems for empowering physicians and patients
    Spruit, Marco
    Lytras, Miltiadis
    [J]. TELEMATICS AND INFORMATICS, 2018, 35 (04) : 643 - 653
  • [9] Identifying the Barriers to Acceptance of Blockchain-Based Patient-Centric Data Management Systems in Healthcare
    Mutambik, Ibrahim
    Lee, John
    Almuqrin, Abdullah
    Alharbi, Zahyah H.
    [J]. HEALTHCARE, 2024, 12 (03)
  • [10] Towards Smart Healthcare: Patient Data Privacy and Security in Sensor-Cloud Infrastructure
    Masood, Isma
    Wang, Yongli
    Daud, Ali
    Aljohani, Naif Radi
    Dawood, Hassan
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2018,