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

Conference paper


Slum Ally, S. and Khan, N. 2016. Data Warehouse and BI to catalize information use in health sector for decision making: a case study. The 2016 International Conference on Computational Science and Computational Intelligence. Las Vegas, USA 15 - 17 Dec 2016 Institute of Electrical and Electronics Engineers (IEEE). pp. 92-97 https://doi.org/10.1109/CSCI.2016.0025
TypeConference paper
TitleData Warehouse and BI to catalize information use in health sector for decision making: a case study
AuthorsSlum Ally, S. and Khan, N.
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.

ConferenceThe 2016 International Conference on Computational Science and Computational Intelligence
Page range92-97
ISBN
Hardcover9781509055104
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Publication dates
Print12 Dec 2016
Online17 Mar 2017
Publication process dates
Deposited20 Mar 2017
Accepted12 Nov 2016
Accepted author manuscript
Copyright Statement

© 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.

Digital Object Identifier (DOI)https://doi.org/10.1109/CSCI.2016.0025
LanguageEnglish
Book title2016 International Conference on Computational Science and Computational Intelligence (CSCI)
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Accepted author manuscript
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