Fog-Assisted Blockchain-IoMT Healthcare Framework with Role-Based Access Control for Critically Ill Patients

• Published in: SN computer science 2024-08, Vol.5 (6), p.658
• Main Authors: Mallick, Soubhagya Ranjan, Lenka, Rakesh Kumar, Tripathy, Pradyumna Kumar, Rao, D. Chandrasekhar, Sharma, Suraj, Ray, Niranjan Kumar
• Format: Article
• Language: English
• Subjects: Access control; Artificial intelligence; Availability; Bandwidths; Blockchain; Cloud computing; Communication; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Connectivity; Critical care; Data processing; Data Structures and Information Theory; Dependable Cyber-Physical Systems and Cyber Security; Edge computing; Emergency vehicles; Energy consumption; Health care; Health care industry; Health services; Information Systems and Communication Service; Internet of medical things; Internet of Things; Interoperability; Medical device industry; Medical equipment; Medical technology; Original Research; Patients; Pattern Recognition and Graphics; Privacy; Real time; Software Engineering/Programming and Operating Systems; Telemedicine; Vision
• ISSN: 2662-995X; 2661-8907
• DOI: 10.1007/s42979-024-02987-y

Hospitals, clinics, pharmaceutical firms, diagnostics centres, pathology labs, insurance companies, and emergency vehicles must be connected in a unified system to better serve patients worldwide with cutting-edge medical care. Most previously existing systems rely on cloud-based platforms, which face several technological challenges, including data availability, data accessibility, processing delays, scalability concerns, problems gathering real-time data, and difficulties monitoring patients. Information about a person’s health is extremely private and should be protected with the utmost care. To address these issues, We propose a decentralised, secure, and efficient framework incorporating the internet of things, fog computing, and blockchain technology to collect, process, manage, and store healthcare data. A unique role-based access control is used in the proposed framework to prioritise critically ill patients while maintaining confidentiality, scalability, data availability, and system security. Finally, we evaluate the efficiency of our proposed framework by conducting experiments on device registration time, transaction latency, transaction throughput, and access control in medical environments using realistic healthcare scenarios. We then compare the results to existing fog models to determine the system’s performance.