Abstract
A medical record is an important part of a patient’s follow-up. It comprises healthcare professionals’ views, prescriptions, analyses, and all information about the patient. Several players, including the patient, the doctor, and the pharmacist, are involved in the process of sharing, and managing this file. Any authorized individual can access the electronic medical record (EMR) from anywhere, and the data are shared among various health service providers. Sharing the EMR requires various conditions, such as security and confidentiality. However, existing medical systems may be exposed to system failure and malicious intrusions, making it difficult to deliver dependable services. Additionally, the features of these systems represent a challenge for centralized access control methods. This paper presents SEMRAchain a system based on Access control (Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)) and a smart contract approach. This fusion enables decentralized, fine-grained, and dynamic access control management for EMR management. Together, blockchain technology as a secure distributed ledger and access control provides such a solution, providing system stakeholders with not just visibility but also trustworthiness, credibility, and immutability.
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference39 articles.
1. Hassanien, A.E., Khamparia, A., Gupta, D., Shankar, K., and Slowik, A. (2021). Cognitive Internet of Medical Things for Smart Healthcare. Studies in Systems, Decision and Control, Springer.
2. Trust-Based Smart Contract for Automated Agent to Agent Communication;Comput. Intell. Neurosci.,2022
3. Privacy-preserving aware data aggregation for IoT-based healthcare with green computing technologies;Comput. Electr. Eng.,2022
4. A Review on the Role of Machine Learning in Enabling IoT Based Healthcare Applications;IEEE Access,2021
5. A Scalable Protocol Level Approach to Prevent Machine Learning Attacks on PUF-based Authentication Mechanisms for Internet-of-Medical-Things;IEEE Trans. Ind. Inform.,2021
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