Publishing data from electronic health records while preserving privacy: a survey of algorithms

Gkoulalas-Divanis, Aris, Loukides, Grigorios ORCID: https://orcid.org/0000-0003-0888-5061 and Sun, Jimeng 2014. Publishing data from electronic health records while preserving privacy: a survey of algorithms. Journal of Biomedical Informatics 50 , pp. 4-19. 10.1016/j.jbi.2014.06.002

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Abstract

The dissemination of Electronic Health Records (EHRs) can be highly beneficial for a range of medical studies, spanning from clinical trials to epidemic control studies, but it must be performed in a way that preserves patients’ privacy. This is not straightforward, because the disseminated data need to be protected against several privacy threats, while remaining useful for subsequent analysis tasks. In this work, we present a survey of algorithms that have been proposed for publishing structured patient data, in a privacy-preserving way. We review more than 45 algorithms, derive insights on their operation, and highlight their advantages and disadvantages. We also provide a discussion of some promising directions for future research in this area.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	Elsevier
ISSN:	1532-0464
Date of Acceptance:	5 June 2014
Last Modified:	01 Dec 2024 04:45
URI:	https://orca.cardiff.ac.uk/id/eprint/71281

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