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A Comprehensive Survey on Pandemic Patient Monitoring System: Enabling Technologies, Opportunities, and Research

Charu Krishna1, Dinesh Kumar2, Dharmender Singh Kushwaha1

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This study reviews remote patient monitoring technologies for pandemics like COVID-19. It highlights the use of Internet of Things, blockchain, and machine learning for effective patient data management and analysis.

Keywords:
BlockchainCovid-19IoTMachine learningPatient data processingRemote patient monitoring

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Area of Science:

  • * Health Informatics
  • * Epidemiology
  • * Computer Science

Background:

  • * Transmissible diseases and pandemics have historically impacted human societies profoundly.
  • * Pandemics necessitate advancements in healthcare, driving innovation in patient monitoring and data management.
  • * The COVID-19 pandemic underscored the need for remote monitoring solutions to minimize human intervention.

Purpose of the Study:

  • * To survey research on remote monitoring systems for pandemic patients.
  • * To introduce enabling technologies: Internet of Things (IoT), blockchain, and machine learning.
  • * To classify existing research into IoT-based monitoring, blockchain data platforms, and machine learning analysis.

Main Methods:

  • * Literature review of remote monitoring systems for pandemic patients.
  • * Categorization of reviewed works based on technology application (IoT, blockchain, machine learning).
  • * Analysis of technological integration for patient monitoring, data storage, and data processing.

Main Results:

  • * Identified three primary categories of research: IoT for remote monitoring, blockchain for data security, and machine learning for data analysis.
  • * Demonstrated the increasing adoption of IoT, blockchain, and machine learning in pandemic patient care.
  • * Highlighted the potential of analyzed patient data to aid healthcare decision-making.

Conclusions:

  • * Remote monitoring systems utilizing IoT, blockchain, and machine learning are crucial for managing pandemic patients.
  • * Secure data storage and analysis are vital for effective healthcare response during pandemics.
  • * Further research is needed to address open issues in pandemic patient monitoring technologies.