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ScalableDigitalHealth (SDH): An IoT-Based Scalable Framework for Remote Patient Monitoring.

Hisham Alasmary1

  • 1Department of Computer Science, College of Computer Science, King Khalid University, Abha 61421, Saudi Arabia.

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Summary
This summary is machine-generated.

This study introduces the Scalable Digital Health (SDH) framework for remote patient monitoring. It uses edge computing autoscaling and IoT to provide real-time health tracking for improved accessibility and responsiveness.

Keywords:
AWS cloudInternet of Things (IoT)Kubernetesautoscalingdigital healthedge computingremote health monitoring

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Area of Science:

  • Digital Health
  • Edge Computing
  • Internet of Things (IoT)

Background:

  • Increasing demand for remote patient monitoring (RPM) among elderly and mobility-impaired populations.
  • Need for scalable, responsive, and cost-efficient digital health solutions.
  • Limitations of existing systems in handling real-time data and dynamic scaling.

Purpose of the Study:

  • To propose the Scalable Digital Health (SDH) framework for advanced remote patient monitoring.
  • To integrate smart digital health solutions with latency-aware edge computing autoscaling.
  • To establish a novel, scalable architecture for real-time health parameter tracking.

Main Methods:

  • Leveraging Internet of Things (IoT) technology for real-time data acquisition (ECG, temperature, blood pressure, oxygen saturation).
  • Implementing latency-aware horizontal pod autoscaling for containerized healthcare applications within edge computing environments.
  • Utilizing a layered networking architecture for efficient data transmission to cloud storage (AWS).

Main Results:

  • Successful establishment of real-time remote patient monitoring capabilities.
  • Development of a scalable architecture featuring dynamic autoscaling driven by latency thresholds and custom metrics.
  • Optimized system responsiveness and enhanced Kubernetes performance, preventing unresponsiveness during high usage.

Conclusions:

  • The SDH framework significantly enhances accessibility, cost-efficiency, and responsiveness in remote healthcare.
  • The proposed architecture revolutionizes remote healthcare delivery through innovative microservice autoscaling in edge computing.
  • This approach ensures robust and reliable real-time patient monitoring, particularly for vulnerable populations.