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Review of Business Intelligence and Intelligent Systems in Healthcare Domain

Review of Business Intelligence and Intelligent Systems in Healthcare Domain

Halil Ibrahim Cebeci, Abdulkadir Hiziroglu
Copyright: © 2016 |Pages: 15
ISBN13: 9781522500759|ISBN10: 1522500758|EISBN13: 9781522500766
DOI: 10.4018/978-1-5225-0075-9.ch009
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MLA

Cebeci, Halil Ibrahim, and Abdulkadir Hiziroglu. "Review of Business Intelligence and Intelligent Systems in Healthcare Domain." Intelligent Techniques for Data Analysis in Diverse Settings, edited by Numan Celebi, IGI Global, 2016, pp. 192-206. https://doi.org/10.4018/978-1-5225-0075-9.ch009

APA

Cebeci, H. I. & Hiziroglu, A. (2016). Review of Business Intelligence and Intelligent Systems in Healthcare Domain. In N. Celebi (Ed.), Intelligent Techniques for Data Analysis in Diverse Settings (pp. 192-206). IGI Global. https://doi.org/10.4018/978-1-5225-0075-9.ch009

Chicago

Cebeci, Halil Ibrahim, and Abdulkadir Hiziroglu. "Review of Business Intelligence and Intelligent Systems in Healthcare Domain." In Intelligent Techniques for Data Analysis in Diverse Settings, edited by Numan Celebi, 192-206. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0075-9.ch009

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Abstract

Business intelligence and corresponding intelligent components and tools have been one of those instruments that receive significant attention from health community. In order to raise more awareness on the potentials of business intelligence and intelligent systems, this paper aims to provide an overview of business intelligence in healthcare context by specifically focusing on the applications of intelligent systems. This study reviewed the current applications into three main categories and presented some important findings of that research in a systematic manner. The literature is wide with respect to the applications of business intelligence covering the issues from health management and policy related topics to more operational and tactical ones such as disease treatment, diagnostics, and hospital management. The discussions made in this article can also facilitate the researchers in that area to generate a research agenda for future work in applied health science, particularly within the context of health management and policy and health analytics.

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