Big Data Analytics in Healthcare: Revolutionizing Patient Care with IoT
Abstract
Patient care is undergoing a transformation thanks to the Internet of Things (IoT) and Big Data Analytics, which are enabling more accurate, proactive, and customized medical interventions. This paper explores how the integration of IoT devices with advanced data analytics can transform healthcare delivery. By collecting and analyzing vast amounts of real-time data from wearable devices, remote monitoring systems, and smart medical equipment, healthcare providers can gain valuable insights into patient health trends and patterns. These insights greatly improve patient outcomes and operational efficiency by facilitating early diagnosis, customized treatment strategies, and ongoing monitoring. This study also addresses the issues of data security, privacy, and the necessity of strong data governance systems. The findings underscore the potential of Big Data Analytics and IoT to drive significant improvements in healthcare quality, efficiency, and accessibility. However, the deployment of these technologies also presents significant challenges, including data privacy, security, and the need for robust data governance frameworks. This study underscores the critical role of BDA and IoT in the future of healthcare and suggests strategies to overcome the associated challenges to fully realize their potential.