Data Warehouse and BI to catalize information use in health sector for decision making: a case study

Slum Ally, Selemani and Khan, Nawaz (2016) Data Warehouse and BI to catalize information use in health sector for decision making: a case study. In: The 2016 International Conference on Computational Science and Computational Intelligence, 15-17 Dec 2016, Las Vegas, USA. (Published online first)

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Abstract

Health sector in most countries including Zanzibar lacks the single repository that integrates health management data produced by multitude of sources. The study proves cost effective but successful implementation of Data Warehouse (DW) plays useful role to influence informed decision making in the health sector. Successful DW needs to include necessary features such as Online Analytic Process (OLAP) which gives decision makers the freedom to analyses information into different format business intelligence (BI) tools, data mining and data presentation tools. In this study, we attempted to identify DW needs to consider culture of organization and what organization actual wants for decision making. The study proposed the cost effective DW and BI tools solution to catalyze informed decision making in health care industry. The study also aims to discuss challenges and sets out recommendations.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 21528
Notes on copyright: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Nawaz Khan
Date Deposited: 20 Mar 2017 16:42
Last Modified: 02 Apr 2019 17:22
URI: https://eprints.mdx.ac.uk/id/eprint/21528

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