Article citationsMore >>

Issac Shams, Saeede Ajorlou, Kai Yang, (2014), “A predictive analytics approach to reducing 30-day avoidable readmissions among patients with heart failure, acute myocardial infarction, pneumonia, or COPD”, Health Care Manag Sci.

has been cited by the following article:

Article

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

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


American Journal of Information Systems. 2019, Vol. 7 No. 1, 7-17
DOI: 10.12691/ajis-7-1-2
Copyright © 2019 Science and Education Publishing

Cite this paper:
Fatimetou Zahra Mohamed Mahmoud, 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.

Correspondence to: Fatimetou  Zahra Mohamed Mahmoud, Faculty of ICT, International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia. Email: fatimetou1991@hotmail.com

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