A Proposed Framework to Enhance Healthcare Systems Utilizing Data Analytics for Intelligent Decision Support Systems

نوع المستند : • البحوث والدراسات والمقالات المستوفاة للقواعد العلمیة المتعارف علیها، والتى یجریها أو یشارک فى إجرائها أعضاء هیئة التدریس والباحثون فى الجامعات ومراکز البحوث المصریة والعربیة، وذلک باللغتین العربیة والإنجلیزیة .

المؤلفون

1 Sadat Academy for Management Sciences

2 PhD. Student (SC&MIS Department)

المستخلص

Abstract
The healthcare system has generated large amount of data (Big Data) generated from electronic record. To improve the quality of healthcare, it’s necessary that large volume of data generated should be analyzed effectively to answer new challenges. But dealing with this huge amount of data required Analytical embrace ideas that go beyond the Traditional statistical methods already in use in the Egyptian context. Big data analytics helps in discovering valuable decisions by understanding the data patterns and the relationship between them with the help of machine learning algorithms, Data Mining and Artificial Intelligence. It requires a technology that helps to perform a real time analysis on the enormous data set, which is not utilized in the Egyptian health care information system. Modern analytics of the Egyptian health care system is still missing to help national decision making. Utilizing advanced data analytics for improving Egyptian health care policies and decision making. This research proposed big data analytics framework applied on the healthcare system to get the greatest value from their data and information by using hadoop map/reduce framework.

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