Optimizing Healthcare Data Exchange: AI, Middleware, and Blockchain for Secure Cloud and Fog Interoperability

Abstract

Healthcare data exchange is critical to accurate diagnosis, effective treatment, and smooth communication between healthcare providers. However, the challenge is that security, interoperability, and real-time processing in cloud and fog environments is still an open issue. The paper presents an optimized framework of AI, Middleware, and Blockchain for the security, interoperability, and efficiency of healthcare systems. In terms of smart processing and predictive analysis of AI, middleware provides an interoperable connection seamlessly, and blockchain presents a protocol for tamper-proof and secure data exchange. The model performs better than the existing methodology, with 96% accuracy, 85.4 ms lowest latency, 60.2 MB/s highest throughput, 98% strongest security, and 90% best interoperability in cloud and fog computing environments for healthcare data exchange.