Big Data Analytics has emerged as a powerful tool in healthcare, enabling the analysis of large-scale data to uncover valuable insights for patient care, disease prevention, and resource allocation. This paper explores the potential of Big Data Analytics in revolutionizing the healthcare industry by integrating electronic health records, wearable devices, and medical imaging to facilitate personalized medicine and evidence-based decision making. However, ethical considerations, privacy concerns, and data security issues must be addressed to ensure responsible data usage. Collaboration between data scientists, healthcare professionals, and policymakers is crucial to leverage the full potential of Big Data Analytics and realize its transformative impact on patient outcomes and the future of healthcare. The paper aims at presenting exhaustive literature review of 141 documents derived from Web of Science database, Scopus and Google Scholar. Paper uses Bibliometrics which is a quantitative analysis method that focuses on evaluating and measuring the impact, visibility, and scholarly influence of scientific publications and researchers through various indicators such as citation counts, h-index, and journal impact factors. This paper concludes by highlighting the need for ongoing research and advancements in the field to maximize the benefits of Big Data Analytics in healthcare while safeguarding patient privacy and data integrity.

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