Big Data in Healthcare: Transforming Health Information into Actionable Intelligence

Authors

  • Ziyad Mohammad Alharbi, Noha Aied Alotibiy, Ahlam Abdulrahim Tumaihi, Fahad Abdulkarim Alsahli, Abdulaziz Rasheed Alrasheed

Keywords:

Big Data, Healthcare Analytics, Precision Medicine, Electronic Health Records, Machine Learning.

Abstract

ABSTRACT
Aim: This paper investigates the transformative role of big data in healthcare, focusing on its potential to convert vast,
complex, and heterogeneous health-related information into actionable intelligence that can drive clinical and
administrative decision-making.
Methodology: A narrative review methodology was adopted, drawing evidence from peer-reviewed research articles
published between 2015 and 2025 in reputable databases such as PubMed, Elsevier, and Springer. The literature was
screened to identify studies addressing the lifecycle of big data in healthcare, including acquisition, analysis, and
practical implementation. Particular emphasis was placed on emerging technologies, AI-driven analytics, and the
integration of multi-source datasets, such as electronic health records (EHRs), genomic data, imaging, and real-time
patient monitoring.

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Published

2025-07-02

How to Cite

Ziyad Mohammad Alharbi, Noha Aied Alotibiy, Ahlam Abdulrahim Tumaihi, Fahad Abdulkarim Alsahli, Abdulaziz Rasheed Alrasheed. (2025). Big Data in Healthcare: Transforming Health Information into Actionable Intelligence. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 14(2), 11–18. Retrieved from https://eduzonejournal.com/index.php/eiprmj/article/view/788

Issue

Vol. 14 No. 2 (2025): Volume 14, Issue 2

Section

Articles