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A Software Framework for Remote Patient Monitoring by Using Multi-Agent Systems Support.

Chrystinne Oliveira Fernandes1, Carlos José Pereira De Lucena1

  • 1Department of Informatics, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil.

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Summary
This summary is machine-generated.

This study developed IoT4Health, a flexible framework for Internet of Things (IoT) applications, enabling proactive remote patient monitoring (RPM) and real-time anomaly detection for improved healthcare. The framework allows timely generation of eHealth solutions.

Keywords:
biometric sensorseHealth systemsremote patient monitoring

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Area of Science:

  • Health Informatics
  • Software Engineering
  • Internet of Things (IoT)

Background:

  • Healthcare systems lag in adopting advancements in network, hardware, and software technologies.
  • Opportunities exist to leverage technology for real-time patient monitoring and critical response.
  • Addressing healthcare challenges requires innovative technological solutions.

Purpose of the Study:

  • To design and develop innovative technological solutions for a proactive and reliable medical care environment.
  • To construct IoT4Health, a flexible software framework for generating Internet of Things (IoT) applications.
  • To enable autonomous Remote Patient Monitoring (RPM) activities using multi-agent systems.

Main Methods:

  • A framework methodology was employed to assess the potential for customized RPM applications.
  • Developed three proof-of-concept applications with varied implementations to demonstrate framework flexibility.
  • Conducted experiments with the Agents4Health application to measure monitoring task delays and responsiveness.

Main Results:

  • IoT4Health, an extensible software framework, was developed as a contribution to eHealth solutions.
  • Applications generated from the framework support identification, collection, storage, recovery, visualization, monitoring, anomaly detection, and reconfiguration.
  • Real-time anomaly detection and instant notifications to health providers were achieved, enhancing proactive patient monitoring.

Conclusions:

  • A generic, complex system approach offers cost-benefits over custom-made software for eHealth solutions.
  • The IoT4Health framework enables timely generation of diverse applications within the healthcare domain.
  • The developed framework supports a more proactive and responsive approach to patient monitoring.