title: Publishing data from electronic health records while preserving privacy: a survey of algorithms.
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.
authors.affiliation: IBM Research-Ireland, Damastown Industrial Estate, Mulhuddart, Dublin 15, Ireland. Electronic address: arisdiva@ie.ibm.com.
authors.forename: Aris
authors.initials: A
authors.lastname: Gkoulalas-Divanis
authors.affiliation: School of Computer Science & Informatics, Cardiff University, 5 The Parade, Roath, Cardiff CF24 3AA, UK.
authors.forename: Grigorios
authors.initials: G
authors.lastname: Loukides
authors.affiliation: IBM Thomas J. Watson Research Center, 17 Skyline Drive, Hawthorne, NY 10532, USA.
authors.forename: Jimeng
authors.initials: J
authors.lastname: Sun
mesh_terms: D000465:Algorithms; D057286:Electronic Health Records; D018907:Privacy; D014342:Truth Disclosure
keywords: Algorithms; Anonymization; Electronic health records; Privacy; Survey