Security and privacy of medical data : challenges for next-generation patient-centric healthcare systems

We describe the recently-started EU H2020 Serums: Securing Medical Data in Smart Patient-Centric Healthcare Systems project that aims to develop novel techniques for safe and secure collection, storage, exchange and analysis of medical data, allowing the patients of the next-generation smart healthcare centers to get the best possible treatment while respecting privacy and ownership of their sensitive personal data. Our goal is to significantly enhance trust in the new medical systems. We outline the techniques that will be extended/developed over the course of the project and describe the use cases that will be used to verify the effectiveness of these technologies in practice.

Citation

Janjic , V , Bowles , J , Belk , M & Pitsillides , A 2019 , Security and privacy of medical data : challenges for next-generation patient-centric healthcare systems . in ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization . Association for Computing Machinery, Inc , New York , pp. 213-214 , 27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019 , Larnaca , Cyprus , 9/06/19 . https://doi.org/10.1145/3314183.3326364

conference

Publication

ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization

DOI

https://doi.org/10.1145/3314183.3326364

Type

Conference item

Rights

© 2019, Association for Computing Machinery. This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1145/3314183.3326364

Description

This work has been supported by the EU H2020 grant Serums: Securing Medical Data in Smart Patient-Centric Healthcare Systems (code 826278).

Collections

University of St Andrews Research

URI

http://hdl.handle.net/10023/18213