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

Vladimir Janjic; Juliana Bowles; Marios Belk; Andreas Pitsillides

doi:10.1145/3314183.3326364

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

Vladimir Janjic, Juliana Bowles, Marios Belk, Andreas Pitsillides

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

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.

Original language	English
Title of host publication	ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization
Place of Publication	New York
Publisher	ACM
Pages	213-214
Number of pages	2
ISBN (Electronic)	9781450367110
DOIs	https://doi.org/10.1145/3314183.3326364
Publication status	Published - 6 Jun 2019
Event	27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019 - Larnaca, Cyprus Duration: 9 Jun 2019 → 12 Jun 2019 Conference number: 27 http://www.cyprusconferences.org/umap2019/

Conference

Conference	27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019
Abbreviated title	UMAP 2019
Country/Territory	Cyprus
City	Larnaca
Period	9/06/19 → 12/06/19
Internet address	http://www.cyprusconferences.org/umap2019/

Keywords

Data sharing
Medical data
Personalised medicine
Privacy
Security
Smart healthcare

Access to Document

10.1145/3314183.3326364

APPS2019_Invited
© 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
Accepted author manuscript, 562 KB

SERUMS: SERUMS
Kuster Filipe Bowles, J. (PI)
European Commission
1/01/19 → 30/06/22
Project: Standard

Cite this

@inproceedings{376825d66348453e8285dbb18d0f7f37,

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

abstract = "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.",

keywords = "Data sharing, Medical data, Personalised medicine, Privacy, Security, Smart healthcare",

author = "Vladimir Janjic and Juliana Bowles and Marios Belk and Andreas Pitsillides",

note = "This work has been supported by the EU H2020 grant Serums: Securing Medical Data in Smart Patient-Centric Healthcare Systems (code 826278).; 27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019, UMAP 2019 ; Conference date: 09-06-2019 Through 12-06-2019",

year = "2019",

month = jun,

day = "6",

doi = "10.1145/3314183.3326364",

language = "English",

pages = "213--214",

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

publisher = "ACM",

address = "United States",

url = "http://www.cyprusconferences.org/umap2019/",

}

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. ACM, 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

Security and privacy of medical data: challenges for next-generation patient-centric healthcare systems. / Janjic, Vladimir; Bowles, Juliana; Belk, Marios et al.
ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. New York: ACM, 2019. p. 213-214.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Bowles, Juliana

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AU - Pitsillides, Andreas

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N2 - 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.

AB - 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.

KW - Data sharing

KW - Medical data

KW - Personalised medicine

KW - Privacy

KW - Security

KW - Smart healthcare

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DO - 10.1145/3314183.3326364

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PB - ACM

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Y2 - 9 June 2019 through 12 June 2019

ER -

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

Abstract

Conference

Keywords

Access to Document

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Projects

SERUMS: SERUMS

Cite this