The power of big data mining to improve the health care system in the United Arab Emirates

Author:

Alhajaj Khawla Eissa,Moonesar Immanuel AzaadORCID

Abstract

Abstract Context Collecting and analyzing data has become crucial for many sectors, including the health care sector, where a hefty amount of data is generated daily. Over time, the amount and complexity of this data increase substantially. Consequently, it is considered big data that cannot be stored or analyzed conveniently unless advanced technologies are incorporated. Latest advances in technology have divulged new opportunities to use big data analysis to track a patient’s record and health. Still, it has also posed new challenges in maintaining data privacy and security in the healthcare sector. Purpose This systematic review aims to give new researchers insights into big data use in health care systems and its issues or to advise academics interested in investigating the prospects and tackling the challenges of big data implementation in rising nations like the UAE. This study uses a systematic methodology to examine big data's role and efficacy in UAE health care. Methods The research follows the methodology of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) for reporting the reviews and evaluating the randomized trials. Furthermore, the Critical Appraisal Checklist for PRISMA 2009 was applied for the research. Findings The study concludes that the healthcare systems in the United Arab Emirates can be improved through big data; however, the country authorities must acknowledge the development of efficient frameworks for performance, and quality assessment of the new health care system is significant. The said goal can be achieved via integrating big data and health informatics with the help of IT specialists, health care managers, and stakeholders. Data privacy, data storage, data structure, data ownership, and governance were the most often expressed concerns. Contribution to knowledge By discussing numerous issues and presenting solutions linked with big data, the current study contributes substantially to the knowledge of big data and its integration into health care systems in the UAE.

Publisher

Springer Science and Business Media LLC

Subject

Information Systems and Management,Computer Networks and Communications,Hardware and Architecture,Information Systems

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3