Information accountability and health big data analytics: A consent-based model

Grunwell, Daniel & Sahama, Tony (2015) Information accountability and health big data analytics: A consent-based model. In 17th International Conference on E-health Networking, Application and Services (Healthcom), 14-17 October 2015, Boston, USA.


With the ever increasing amount of eHealth data available from various eHealth systems and sources, Health Big Data Analytics promises enticing benefits such as enabling the discovery of new treatment options and improved decision making. However, concerns over the privacy of information have hindered the aggregation of this information. To address these concerns, we propose the use of Information Accountability protocols to provide patients with the ability to decide how and when their data can be shared and aggregated for use in big data research. In this paper, we discuss the issues surrounding Health Big Data Analytics and propose a consent-based model to address privacy concerns to aid in achieving the promised benefits of Big Data in eHealth.

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ID Code: 87542
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Big Data Analytics, Access Control, Electronic Health Records, eHealth, Privacy, Security
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 IEEE
Copyright Statement: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Deposited On: 21 Sep 2015 01:51
Last Modified: 06 May 2016 02:35

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