Big Data Analytics in Healthcare: Predictive
Modeling, Privacy Challenges, and Global Regulatory
Compliance
Dublin Core
Title
Big Data Analytics in Healthcare: Predictive
Modeling, Privacy Challenges, and Global Regulatory
Compliance
Modeling, Privacy Challenges, and Global Regulatory
Compliance
Subject
Big Data, Healthcare, Data Privacy, Regulatory
Description
Big Data Analytics (BDA) is increasingly central to
modern healthcare, promising transformative improvements in
patient care, operational efficiency, and predictive disease
modeling. However, the sensitive nature of health data also
introduces significant challenges, particularly regarding privacy,
confidentiality, and global regulatory compliance. This article
synthesizes key insights from contemporary research, highlighting
methods, existing gaps, proposed solutions, and the critical need
for stronger global data privacy harmonization
modern healthcare, promising transformative improvements in
patient care, operational efficiency, and predictive disease
modeling. However, the sensitive nature of health data also
introduces significant challenges, particularly regarding privacy,
confidentiality, and global regulatory compliance. This article
synthesizes key insights from contemporary research, highlighting
methods, existing gaps, proposed solutions, and the critical need
for stronger global data privacy harmonization
Creator
Rachael N. Ndung’u
Source
https://ijcit.com/index.php/ijcit/article/view/513
Publisher
Department of Information Technology
Murang’a University of Technology
Murang’a, Kenya
Murang’a University of Technology
Murang’a, Kenya
Date
june 2025
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Rachael N. Ndung’u, “Big Data Analytics in Healthcare: Predictive
Modeling, Privacy Challenges, and Global Regulatory
Compliance,” Repository Horizon University Indonesia, accessed January 1, 2026, https://repository.horizon.ac.id/items/show/9744.
Modeling, Privacy Challenges, and Global Regulatory
Compliance,” Repository Horizon University Indonesia, accessed January 1, 2026, https://repository.horizon.ac.id/items/show/9744.