A Review of Big Data Trends and Challenges in Healthcare


Baloch, Laila and Bazai, Sibghat Ullah and Marjan, Shah and Aftab, Farhan and Aslam, Saad and Neo, Tse Kian and Amphawan, Angela (2023) A Review of Big Data Trends and Challenges in Healthcare. International Journal of Technology, 14 (6). p. 1320. ISSN 2086-9614

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The healthcare sector produces an enormous amount of complicated data from several sources, such as health monitoring systems, medical devices, and electronic health records. Big data analytics may improve healthcare by enabling more effective decision-making, improving patient outcomes, and reducing costs. To improve the operational efficiency of healthcare organizations, scientific studies must search for the standardization and integration of data analysis equipment and methods. This systematic literature review aims to provide current insights on the topic by analyzing a total of 60 relevant articles published between 2017 and 2023. The review explores the challenges and opportunities in using big data in healthcare, including data security, privacy, data quality, interoperability, and ethical considerations. The article also explores big data analytics' potential uses in healthcare, such as personalized treatment, disease prediction and prevention, and population health management. It provides significant insights for healthcare providers, researchers, and practitioners to make evidence-based decisions, as well as underlines the need for more research in this area to fully realize the promise of big data in healthcare

Item Type: Article
Uncontrolled Keywords: Artificial Intelligence
Subjects: Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions: Faculty of Creative Multimedia (FCM)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 01 Dec 2023 00:53
Last Modified: 01 Dec 2023 00:53
URII: http://shdl.mmu.edu.my/id/eprint/11879


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