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