Optimizing Healthcare Data Streams Using Real-Time Big Data Analytics and AI Techniques

Abstract

Healthcare delivery gets revolutionized by the integration of Artificial Intelligence (AI) and Big Data Analytics into 
mobile health (m-Health) technologies. The present investigation looks at the way AI and real-time analytics might 
improve the administration of healthcare data, focusing especially on neural networks—which processed complex 
medical data with an astounding 92% accuracy. Rapid data processing was made possible by the combination of 
Apache Spark and Hadoop, and it's essential for prompt healthcare interventions. Although these developments are 
encouraging, problems in handling unstructured data from wearable technology and protecting data privacy still exist. 
The investigation points out areas that require more research and development while also highlighting the potential 
for AI and Big Data to revolutionize healthcare.