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
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"
Conference_Titel :
E-health Networking, Application & Services (HealthCom), 2015 17th International Conference on
DOI :
10.1109/HealthCom.2015.7454497