Harnessing Edge Ai and Blockchain for Transformative Big Data Analytics in Modern Healthcare Cloud Systems

In modern healthcare cloud networks, edge AI and blockchain have emerged as a revolutionary big data analytics solution. This effective system relies on blockchain technology to protect cloud-based analytics after local data preprocessing through the use of edge computing. In healthcare applications, the proposed architecture reduces latency, enhances processing efficiency and ensures data integrity. Key components feature normalization, blockchain encryption for secure data transfer and anomaly detection using outlier elimination. Substantial improvements in transaction throughput, latency reduction and efficient data aggregation are demonstrated through performance testing. The results indicate a reduction in cloud latency over edge devices and an enhancement in blockchain transaction throughput to a maximum of 17 TPS. The efficiency of edge-cloud processing integration is also analyzed, showing seamless data distribution and minimal computational overhead. This work illustrates how AI-based edge computing and blockchain technology can be integrated to offer reliable and scalable health analytics. Federated learning models will be enhanced in the future and blockchain consensus protocols will be better optimized to provide faster real-time data processing.