Big Data in Healthcare
Mohammad Kamal Hussain1, Mohammad Jabed Hussain2, Mohammed Bakri Osman3, Taher Mohammed Abdurraheem4, Mahmoud Al-Areefi5

1Dr. Mohammad Kamal Hussain*, Associate Professor, Department of Health Information Technology & Management, Umm Al-Qura University, Makkah, Saudi Arabia.
2Mohammad Jabed Hussain, Department of Information System, Umm Al Qura University, Makkah, Saudi Arabia.
3Mohammed Bakri, Assistant Professor, Department of Epidemiology, Umm Al- Qura University Makkah, Saudi Arabia.
4Taher Mohammed Abdurraheem, Assistant Professor, Department of Health Information Technology & Management, Umm Al- Qura University Makkah, Saudi Arabia.
5Mahmoud Al-Areefi, Assistant Professor, Department of Health Information Technology & Management, Umm Al- Qura University Makkah, Saudi Arabia.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 2127-2131 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8100038620/2020©BEIESP | DOI: 10.35940/ijrte.F8100.038620

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: To improve quality in healthcare, it is very much important to store, manage and retrieve as well as use the data & information properly as it has great potential to help leaders in effective decision making. Managing data in healthcare is not easy task as it has many associated risk. As per new trends in healthcare industry, it is observed that the data volume generation in healthcare is growing rapidly. Big Data is substantial, less organized and mixed in nature. In addition to that, big data is considered one of the best tools to reduce the associated and functional cost of healthcare providers worldwide. While income should not be only a main or prime indicator, it is equally important for healthcare providers to gather the most valuable present tools and techniques and setup to force or inculcate big data effectively otherwise it can harm or risk organization to lose money in business as well as profit. Objective: This paper is focusing on the special factors of Big Data in healthcare. The main aim of this study is to find the roles of big data in healthcare and know how big data is helping in data transaction in healthcare industry. Methods: More than 30(n=30) published papers have been reviewed and suitable papers (n=18) have been included to make the conclusion. Information was condensed utilizing distinct measurable assessment & techniques. Findings: According to investigation of published articles, it has established that the role of big data is very much unique and important as well as it is helping healthcare providers to improve the patient safety and quality by providing smooth health information storage and exchange with high privacy and security. Conclusion: Big Data in healthcare is a new concept introduced in healthcare data analytics and management which is basically focusing in improving the drug and disease discovery, personal healthcare record, electronic health record, effective decision in diagnosis and treatment by healthcare practitioners and at most helps in getting desired and positive health outcome. The data is one of the crucial factors in healthcare and it is high time for healthcare providers to look into those matters in enormous way.
Keywords: Big Data in Healthcare, Cloud Computing, Data Analytics, Health Analytics, Health Meta Data.
Scope of the Article: Cloud Computing.