American Journal of Information Systems
ISSN (Print): 2374-1953 ISSN (Online): 2374-1988 Website: http://www.sciepub.com/journal/ajis Editor-in-chief: Sergii Kavun
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American Journal of Information Systems. 2019, 7(1), 7-17
DOI: 10.12691/ajis-7-1-2
Open AccessArticle

Development of Model toward Successful Predictive Analytics Use for the Organizational-Decision Making in Hospitals

Fatimetou Zahra Mohamed Mahmoud1, and Noor Azizah Mohamadali2

1Faculty of ICT, International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia

2Department of Information Systems, Faculty of Information and Communication Technology (KICT), International Islamic University Malaysia (IIUM), Jalan Gombak, 53100, Kuala Lumpur, Malaysia

Pub. Date: September 12, 2019

Cite this paper:
Fatimetou Zahra Mohamed Mahmoud and Noor Azizah Mohamadali. Development of Model toward Successful Predictive Analytics Use for the Organizational-Decision Making in Hospitals. American Journal of Information Systems. 2019; 7(1):7-17. doi: 10.12691/ajis-7-1-2

Abstract

The umbrella that covers predictive analytics systems is called business intelligence (BI) systems which are set of technologies, architecture, tools, processes and best practices to extract insight and useful information from structured and unstructured data about the current business performance of the organization and to report about historical trends to take better decisions and improve the organization performance. Thus, Healthcare predictive systems are analytic systems which aim to minimize the future medical cost and help to provide in hospital a high level of healthcare and preventive healthcare due to the early detection of risks and possibility to take better actions and decisions. This paper is about developing a model toward successful predictive analytics use for organizational decision making. Furthermore, this research show that most of the previous research was focusing only on the use of predictive analytics for technical purpose and medical decision making while neglecting its use for the organizational decision making in hospitals.

Keywords:
predictive analytics organizational decision making healthcare

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