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Opportunities and challenges for privacy-preserving visualization of electronic health record data

Abstract:
In this paper, we reflect on the use of visualization techniques for analyzing electronic health record data with privacy concerns. Privacy-preserving data visualization is a relatively new area of research compared to the more established research areas of privacy-preserving data publishing and data mining. We describe the opportunities and challenges for privacy-preserving visualization of electronic health record data by analyzing the different disclosure risk types, and vulnerabilities associated with commonly used visualization techniques.
Publication status:
Published
Peer review status:
Peer reviewed

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Publication website:
http://www.cs.umd.edu/hcil/parisehrvis/

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Oxford e-Research Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Oxford e-Research Centre
Role:
Author
More by this author
Institution:
University of Oxford
Oxford college:
St Anne's College
Role:
Author
Publisher:
EHRVis Publisher's website
Host title:
Proceedings of IEEE VIS 2014 Workshop on Visualization of Electronic Health Records
Publication date:
2014-11-09
Acceptance date:
2014-11-09
Event title:
IEEE VIS 2014 Workshop: Visualizing Electronic Health Record Data (EHRVis)
Event location:
Paris, France
Event website:
http://www.cs.umd.edu/hcil/parisehrvis/
Event start date:
2014-11-09T00:00:00Z
Event end date:
2014-11-09T00:00:00Z
Language:
English
Pubs id:
pubs:641804
UUID:
uuid:1b116aca-36fd-4add-b11f-72d33856bb46
Local pid:
pubs:641804
Deposit date:
2016-09-09

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