Big Data Analytics in Healthcare: Predictive Modeling, Privacy Challenges, and Global Regulatory Compliance

Abstract

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.