EHR Resources Recommendation and Task Offloading Using Blockchain Integrated Management

Resource recommendation in electronic health records (EHR) represents a critical challenge in distributed computational environments, where efficient utilization of resources is essential for supporting large-scale healthcare data processing. In this work, we present a novel and effective schema for EHR resource requesting and resource monitoring, designed with a blockchain-integrated management approach to enhance transparency, security, and coordination. The proposed mechanism initiates with medical users generating a dual authentication token at the point of resource request, facilitated by a local resource manager. This ensures secure validation at the preliminary stage. The generated token is subsequently processed by a global resource manager, which functions as a distributed coordination server responsible for integrating multiple local resource managers to achieve synchronized resource allocation. To maintain reliability and trust, the blockchain repository is employed to validate, track, and record resource allocation events. These blockchain-integrated resources are further aligned with a centralized resource manager that ensures effective validation of requests and systematic updates to the allocation stack. By bridging blockchain governance with distributed resource management, the integrated blockchain manager plays a pivotal role in harmonizing coordination between global and local resource managers. Experimental evaluation demonstrates that the proposed approach achieves a scheduling accuracy of 94.32% and an allocation accuracy of 98.64% under unsupervised instructions compiled within the experimental setup. The findings confirm that the model significantly improves computation efficiency, resource utilization, and blockchain-based management in distributed EHR systems.