Abstract

In recent years, the integration of Big Data analytics in healthcare has revolutionized the industry, providing unprecedented opportunities for improved patient outcomes, operational efficiency, and decision-making. This study conducts a comparative review of the utilization of Big Data analytics in healthcare, with a specific focus on the United States (USA) and global use cases. By examining the advancements, challenges, and outcomes in both contexts, this research aims to shed light on the nuances of implementing Big Data analytics in diverse healthcare ecosystems. The analysis begins by exploring the state of Big Data adoption in the USA, where robust technological infrastructure and widespread digitalization have paved the way for extensive data collection. The study examines how American healthcare institutions leverage Big Data to enhance patient care, streamline administrative processes, and optimize resource allocation. Additionally, it evaluates the regulatory landscape and privacy concerns that shape the deployment of Big Data analytics in the USA. In contrast, the global perspective considers the varying healthcare landscapes and resource availability across different countries. The study investigates how nations with diverse healthcare systems integrate Big Data analytics to address unique challenges, such as resource constraints, population health management, and infectious disease surveillance. Comparative analyses highlight the adaptability and scalability of Big Data solutions in addressing global health issues. Moreover, the research delves into specific use cases, showcasing successful applications of Big Data analytics in healthcare. Case studies from the USA and global settings illustrate the impact on disease prediction, personalized medicine, and epidemiological research. By identifying commonalities and disparities in the implementation of Big Data analytics, the study provides insights into best practices that can be adapted to various healthcare contexts. In conclusion, this comparative review contributes to a comprehensive understanding of the role of Big Data analytics in healthcare, examining both the pioneering landscape of the USA and the diverse global scenarios. The findings offer valuable insights for policymakers, healthcare practitioners, and researchers aiming to harness the potential of Big Data analytics to improve healthcare delivery on a global scale.