A Demand-Driven Cloud-Based Business Intelligence for Healthcare Decision Making

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Author(s): Shah Jahan Miah (The University of Newcastle, Australia)
Copyright: 2014
Pages: 16
Source title: Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications
Source Author(s)/Editor(s): Zhaohao Sun (University of Ballarat, Australia & Hebei Normal University, China)and John Yearwood (Federation University, Australia)
DOI: 10.4018/978-1-4666-5884-4.ch015

Keywords: Business & Management / Electronic Services & Service Science / Information Science Reference / Web Technologies

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Abstract

Technology development for process enhancement has been a topic to many health organizations and researchers over the past decades. In particular, on decision support aids of healthcare professional, studies suggest paramount interests for developing technological intervention to provide better decision-support options. This chapter introduces a combined requirement of developing intelligent decision-support approach through the application of business intelligence and cloud-based functionalities. Both technological approaches demonstrate their usage to meet growing end users' demands through their innovative features in healthcare. As such, the main emphasis in the chapter goes after outlining a conceptual approach of demand-driven cloud-based business intelligence for meeting the decision-support needs in a hypothetical problem domain in the healthcare industry, focusing on the decision-support system development within a non-clinical context for individual end-users or patients who need decision support for their well-being and independent everyday living.

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A Demand-Driven Cloud-Based Business Intelligence for Healthcare Decision Making

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