A Framework for Privacy Assurance and Ubiquitous Knowledge Discovery in Health 2.0 Data Mashups

A Framework for Privacy Assurance and Ubiquitous Knowledge Discovery in Health 2.0 Data Mashups

Jun Hu (University of Ottawa, Canada) and Liam Peyton (University of Ottawa, Canada)
Copyright: © 2012 |Pages: 21
DOI: 10.4018/978-1-61350-323-2.ch204
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Abstract

Knowledge discovery is a critical component in improving health care. Health 2.0 leverages Web 2.0 technologies to integrate and share data from a wide variety of sources on the Internet. There are a number of issues which must be addressed before knowledge discovery can be leveraged effectively and ubiquitously in Health 2.0. Health care data is very sensitive in nature so privacy and security of personal data must be protected. Regulatory compliance must also be addressed if cooperative sharing of data is to be facilitated to ensure that relevant legislation and policies of individual health care organizations are respected. Finally, interoperability and data quality must be addressed in any framework for knowledge discovery on the Internet. In this chapter, we lay out a framework for ubiquitous knowledge discovery in Health 2.0 based on a combination of architecture and process. Emerging Internet standards and specifications for defining a Circle of Trust, in which data is shared but identity and personal information protected, are used to define an enabling architecture for knowledge discovery. Within that context, a step-by-step process for knowledge discovery is defined and illustrated using a scenario related to analyzing the correlation between emergency room visits and adverse effects of prescription drugs. The process we define is arrived at by reviewing an existing standards-based process, CRISP-DM, and extending it to address the new context of Health 2.0.

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