IoT-fog-based healthcare 4.0 system using blockchain technology.

Area of Science:

• * Healthcare Technology
• * Computer Science
• * Data Security

Background:

• * Ubiquitous patient health monitoring relies on fog, cloud computing, and Internet of Things (IoT).
• * Medical IoT (MIoT) devices transmit health data for storage and analysis.
• * Fog computing enhances IoT healthcare services with low latency and quick responses.

Purpose of the Study:

• * To propose an electronic healthcare system managing critical and non-critical patients simultaneously.
• * To improve response times for critical patient data and protect health records' privacy.
• * To reduce cloud infrastructure load and storage requirements.

Main Methods:

• * Distributing the fog layer into critical and non-critical clusters.
• * Handling critical patients in critical fog clusters for rapid processing.
• * Utilizing blockchain technology in non-critical fog clusters for secure data management.

Main Results:

• * The system successfully protects patient health record privacy while maintaining network standards.
• * Evaluated metrics (recall, accuracy, precision, F-score) demonstrate effectiveness.
• * Performance analysis shows reduced response times, lower drop rates, and improved throughput compared to benchmarks.

Conclusions:

• * The proposed system offers an efficient and secure method for real-time patient health surveillance.
• * It effectively offloads cloud infrastructure, saving costs and improving scalability.
• * The dual-cluster fog approach enhances healthcare service delivery for diverse patient needs.