The business intelligence use in healthcare and its enhancement by predictive analytics

In the last few years the business intelligence systems (BI) had seen a wide spread among organisations in different sectors such as healthcare and it was studied by many researchers. This study aims to describe what are the business intelligence systems, their benefits and challenges especially whe...

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Main Authors:	Mohamed Mahmoud, Mohamed Mahmoud, Mohamadali, Noor Azizah
Format:	Article
Language:	English
Published:	Seventh Sense Research Group 2019
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/73751/ http://irep.iium.edu.my/73751/ http://irep.iium.edu.my/73751/1/73751_The%20business%20intelligence%20use%20in%20healthcare.pdf

id	iium-73751
recordtype	eprints
spelling	iium-737512020-02-05T00:54:23Z http://irep.iium.edu.my/73751/ The business intelligence use in healthcare and its enhancement by predictive analytics Mohamed Mahmoud, Mohamed Mahmoud Mohamadali, Noor Azizah T Technology (General) In the last few years the business intelligence systems (BI) had seen a wide spread among organisations in different sectors such as healthcare and it was studied by many researchers. This study aims to describe what are the business intelligence systems, their benefits and challenges especially when its used in healthcare sector. Moreover, this research suggests that the integration of predictive analytics with BI models could give a better understanding especially regarding the effect of information quality and decision-making quality on the organizational growth and performance.The outcomes of this research show that the main benefits of using BI in healthcare is to improve the decision-making b making it better and faster, enhancing hospitals performance, reducing costs, enhance the quality of healthcare provided to patients, and save time. Moreover, the main challenges in healthcare is the problem of data quality, andthe integration of BI with other hospital systems. Therefore, the analysis of previous BI models shows that there is a consensus that BI system maturity and management quality influence the data and information quality which in turn affect positively the users’ satisfaction, BI usage, and the decision-making quality and lead to improve it. While there is some a contradictory opinion which claim that data quality is no more a challenge and does not affect the success of BI systems. Moreover, BI systems have direct and indirect effect on the decision-making quality but there still no research proving its influence on the organizational growth Seventh Sense Research Group 2019-07 Article PeerReviewed application/pdf en http://irep.iium.edu.my/73751/1/73751_The%20business%20intelligence%20use%20in%20healthcare.pdf Mohamed Mahmoud, Mohamed Mahmoud and Mohamadali, Noor Azizah (2019) The business intelligence use in healthcare and its enhancement by predictive analytics. International Journal of Computer Trends and Technology, 67 (Issue 7 Number 1). pp. 26-39. ISSN 2349-0829 E-ISSN 2231-2803 https://www.ijcttjournal.org/2019/Volume-67%20Issue-7/IJCTT-V67I7P105.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Mohamed Mahmoud, Mohamed Mahmoud Mohamadali, Noor Azizah The business intelligence use in healthcare and its enhancement by predictive analytics
description	In the last few years the business intelligence systems (BI) had seen a wide spread among organisations in different sectors such as healthcare and it was studied by many researchers. This study aims to describe what are the business intelligence systems, their benefits and challenges especially when its used in healthcare sector. Moreover, this research suggests that the integration of predictive analytics with BI models could give a better understanding especially regarding the effect of information quality and decision-making quality on the organizational growth and performance.The outcomes of this research show that the main benefits of using BI in healthcare is to improve the decision-making b making it better and faster, enhancing hospitals performance, reducing costs, enhance the quality of healthcare provided to patients, and save time. Moreover, the main challenges in healthcare is the problem of data quality, andthe integration of BI with other hospital systems. Therefore, the analysis of previous BI models shows that there is a consensus that BI system maturity and management quality influence the data and information quality which in turn affect positively the users’ satisfaction, BI usage, and the decision-making quality and lead to improve it. While there is some a contradictory opinion which claim that data quality is no more a challenge and does not affect the success of BI systems. Moreover, BI systems have direct and indirect effect on the decision-making quality but there still no research proving its influence on the organizational growth
format	Article
author	Mohamed Mahmoud, Mohamed Mahmoud Mohamadali, Noor Azizah
author_facet	Mohamed Mahmoud, Mohamed Mahmoud Mohamadali, Noor Azizah
author_sort	Mohamed Mahmoud, Mohamed Mahmoud
title	The business intelligence use in healthcare and its enhancement by predictive analytics
title_short	The business intelligence use in healthcare and its enhancement by predictive analytics
title_full	The business intelligence use in healthcare and its enhancement by predictive analytics
title_fullStr	The business intelligence use in healthcare and its enhancement by predictive analytics
title_full_unstemmed	The business intelligence use in healthcare and its enhancement by predictive analytics
title_sort	business intelligence use in healthcare and its enhancement by predictive analytics
publisher	Seventh Sense Research Group
publishDate	2019
url	http://irep.iium.edu.my/73751/ http://irep.iium.edu.my/73751/ http://irep.iium.edu.my/73751/1/73751_The%20business%20intelligence%20use%20in%20healthcare.pdf
first_indexed	2023-09-18T21:44:33Z
last_indexed	2023-09-18T21:44:33Z
_version_	1777413362994380800

The business intelligence use in healthcare and its enhancement by predictive analytics

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