Privacy and data Security of Electronic Patient Records (EPR) Sharing

Abstract

The goal of this study is to create a Secured Flow of Data (SFD) mechanism for Electronic Patient Records (EPR) systems. Through user authentication at data exchange endpoints, the system emphasizes the confidentiality, accessibility, and integrity of patient records. The SFD method, which was created in Python, is being tested against current alternatives to preserve the privacy of patient records. It uses asymmetric encryption with a "Public and Private key pair" approach and the Diffie-Hellman Algorithm for key exchange. The SFD mechanism is compared to other alternatives, such as EMR with modified Blowfish algorithm and Extended Role Based Model, in the study. The results show that the SFD mechanism beats the alternatives in terms of data preservation and retrieval, indicating its usefulness in preventing illegal access to EPRs.