A Blockchain-Based Model for Efficient, Privacy-Preserving Online Medical Diagnoses

Patient personal data is growing exponentially due to the digitization of medical systems and the increasing number of patients and diseases which can be collected during online diagnostics for commercial use in the manufacture of medicines for example or for scientific research without their authorization as well as to invade the patient's privacy, knowing his medical record, which can affect his psyche. Scaling, maintaining, and managing a centralized security model can be very difficult and expensive. A centralized security infrastructure introduces a single point of failure, making it an easy target for DDoS attacks (Denial-of-service attacks) and Centralized infrastructure is difficult to implement in industrial configurations where peripheral nodes are geographically dis-persed. During this study, we propose a blockchain based medical data retention system, we demonstrate the ability of this technology to maintain the confidentiality and transparency of data stored online, thanks to encrypted information that is difficult to access or use, knowing and verifying all transactions. Our result through this study was largely satisfactory since we demonstrated the power of this technology at two levels of security, namely data security and privacy.