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

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dc.contributor.authorJanjic, Vladimir
dc.contributor.authorBowles, Juliana
dc.contributor.authorBelk, Marios
dc.contributor.authorPitsillides, Andreas
dc.date.accessioned2019-07-31T12:30:01Z
dc.date.available2019-07-31T12:30:01Z
dc.date.issued2019-06-06
dc.identifier.citationJanjic , 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/10.1145/3314183.3326364en
dc.identifier.citationconferenceen
dc.identifier.isbn9781450367110
dc.identifier.otherPURE: 260332710
dc.identifier.otherPURE UUID: 376825d6-6348-453e-8285-dbb18d0f7f37
dc.identifier.otherORCID: /0000-0002-5918-9114/work/60195667
dc.identifier.otherScopus: 85068638454
dc.identifier.otherWOS: 000507579500035
dc.identifier.urihttp://hdl.handle.net/10023/18213
dc.descriptionThis work has been supported by the EU H2020 grant Serums: Securing Medical Data in Smart Patient-Centric Healthcare Systems (code 826278).en
dc.description.abstractWe 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.
dc.format.extent2
dc.language.isoeng
dc.publisherAssociation for Computing Machinery, Inc
dc.relation.ispartofACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalizationen
dc.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/10.1145/3314183.3326364en
dc.subjectData sharingen
dc.subjectMedical dataen
dc.subjectPersonalised medicineen
dc.subjectPrivacyen
dc.subjectSecurityen
dc.subjectSmart healthcareen
dc.subjectQA76 Computer softwareen
dc.subjectR Medicineen
dc.subjectZA4050 Electronic information resourcesen
dc.subjectSoftwareen
dc.subjectT-NDASen
dc.subject.lccQA76en
dc.subject.lccRen
dc.subject.lccZA4050en
dc.titleSecurity and privacy of medical data : challenges for next-generation patient-centric healthcare systemsen
dc.typeConference itemen
dc.contributor.sponsorEuropean Commissionen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.contributor.institutionUniversity of St Andrews. Centre for Interdisciplinary Research in Computational Algebraen
dc.identifier.doihttps://doi.org/10.1145/3314183.3326364
dc.identifier.grantnumberSEP-210512424en


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