Design and Development of EHR Patterns in Local Blockchain Computing Layers for Privacy Enhancing Techniques
Namrata Bathli, S. K. Patil · Journal of Machine and Computing · 2025
The privacy of EHR is at most concern and challenging as the records are shared and validated across multiple users and databases. In this proposed system the databases at local servers (independent hospitals) are co-aligned to form a local database network, integrated via multiple hospitals from distributed geographical locations. The proposed framework is subjected with a local integration unit (LIU) for extracting and mapping local attributes at LIU. The process is further associated with attribute extraction and attribute occurrence mapping. The process of attribute weight and occurrence mapping is subjected with local integration blockchain generation (LIBG). The LIBG blocks are framed with attribute mapping with respect to the attribute occurrence ratio. The objective is to generate a smarter and simplified privacy enhancer module at local server of blockchain to end-user security. The technique has secured an accuracy of 97.48% in attribute mapping with respect to occurrence.