Obtain Patient Health Data Priority Classification In A Remote E-Healthcare System While Maintaining Privacy

Abstract

Wireless Body Area Networks (WBANs) have emerged as a key technology for enabling continuous, real-time healthcare monitoring. Despite their potential, significant concerns remain regarding the protection of sensitive patient information and the confidentiality of diagnostic models used by healthcare providers. Although several privacy-preserving approaches have been introduced, many suffer from limitations in computational efficiency and classification accuracy.To address these challenges, this paper presents an efficient privacy-preserving priority classification scheme (PPC) designed for remote e-healthcare environments. The proposed approach enables the WBAN gateway to classify encrypted patient data based on priority levels without requiring interaction with external entities. This non-interactive mechanism reduces processing delays and allows timely forwarding of medical data according to its urgency.Security analysis demonstrates that the proposed scheme safeguards both patient privacy and the confidentiality of medical decision models while performing accurate classification. Furthermore, experimental evaluation, conducted using an Android-based application and Java server implementations, shows that the PPC scheme achieves low computational overhead and reduced communication costs, making it suitable for real-time healthcare applications.