DocumentCode
3768712
Title
Information accountability and Health Big Data Analytics: A consent-based model
Author
Daniel Grunwell;Tony Sahama
Author_Institution
Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia
fYear
2015
Firstpage
195
Lastpage
199
Abstract
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.
Keywords
"Big data","Data models","Analytical models","Medical services","Data privacy","Protocols","Privacy"
Publisher
ieee
Conference_Titel
E-health Networking, Application & Services (HealthCom), 2015 17th International Conference on
Type
conf
DOI
10.1109/HealthCom.2015.7454497
Filename
7454497
Link To Document