Smith, CJ orcid.org/0000-0002-0184-3590 (2017) Preventing Unintended Disclosure of Personally Identifiable Data Following Anonymisation. In: Randell, R, Cornet, R, McGowan, C, Peek, N and Scott, PJ, (eds.) Informatics for Health: Connected Citizen-Led Wellness and Population Health. Studies in Health Technology and Informatics, 235 . IOS Press , pp. 313-317. ISBN 978-1-61499-752-8
Abstract
Errors and anomalies during the capture and processing of health data have the potential to place personally identifiable values into attributes of a dataset that are expected to contain non-identifiable values. Anonymisation focuses on those attributes that have been judged to enable identification of individuals. Attributes that are judged to contain non-identifiable values are not considered, but may be included in datasets that are shared by organisations. Consequently, organisations are at risk of sharing datasets that unintendedly disclose personally identifiable values through these attributes. This would have ethical and legal implications for organisations and privacy implications for individuals whose personally identifiable values are disclosed. In this paper, we formulate the problem of unintended disclosure following anonymisation, describe the necessary steps to address this problem, and discuss some key challenges to applying these steps in practice.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 European Federation for Medical Informatics (EFMI) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). |
Keywords: | anonymisation; unintended disclosure; personally identifiable data; human judgement; privacy |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Centre for Health Services Research (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Apr 2017 11:36 |
Last Modified: | 21 Apr 2017 11:36 |
Published Version: | http://ebooks.iospress.nl/volumearticle/46353 |
Status: | Published |
Publisher: | IOS Press |
Series Name: | Studies in Health Technology and Informatics |
Identification Number: | 10.3233/978-1-61499-753-5-313 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115277 |