Fog Computing Service in the Healthcare Monitoring System for Managing the Real-Time Notification

Area of Science:

• Computer Science
• Health Informatics
• Internet of Things (IoT)

Background:

• Fog computing is an emerging paradigm in computing systems.
• Internet of Things (IoT) driven fog computing is being developed for the healthcare industry to improve services and save lives.
• Reduced latency is crucial for efficient healthcare operations.

Purpose of the Study:

• To propose a novel framework for healthcare monitoring using fog computing.
• To manage real-time notifications for patient health status.
• To leverage machine learning for timely medical alerts.

Main Methods:

• Utilizing fog computing to reduce signal transmission latency compared to traditional cloud computing.
• Employing wearable devices with embedded sensors to monitor patient's body temperature, heart rate, and blood pressure.
• Implementing machine learning algorithms to detect anomalies in monitored vital signs and trigger real-time notifications.

Main Results:

• The proposed framework enables faster transmission and communication of medical signals.
• Real-time notifications are generated for healthcare providers upon detecting deviations from normal physiological thresholds.
• Patients receive timely alerts for medication and diet adherence.

Conclusions:

• Fog computing offers a viable solution for reducing latency in healthcare systems.
• The proposed framework enhances patient monitoring and facilitates prompt medical interventions.
• This approach supports efficient data management for future healthcare research and hospital references.