Optimizing Mobile Cloud Computing Architectures for Real-Time Big Data Analytics in Healthcare Applications: Enhancing Patient Outcomes through Scalable and Efficient Processing Models

Abstract

The integration of mobile computing with cloud technologies offers a significant opportunity to revolutionize healthcare applications, especially in the realm of real-time big data analytics. This paper investigates ways to optimize mobile cloud computing frameworks to boost the efficiency and scalability of big data processing in healthcare environments. By prioritizing real-time data analysis, our goal is to enhance patient outcomes through more precise diagnostics, tailored treatments, and prompt interventions. We introduce innovative architectural models and processing methods, assess their effectiveness, and consider their potential impact on future healthcare systems.