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Fog-based healthcare systems: A systematic review.

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Fog computing enhances healthcare systems by addressing challenges like data volume and latency. This review categorizes fog-based healthcare approaches, offering insights for future development and improved patient care.

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Area of Science:

  • Health Informatics
  • Computer Science
  • Distributed Systems

Background:

  • Healthcare systems face challenges with increasing data volume, response times, and security vulnerabilities.
  • Patient data analysis is crucial for improving healthcare system design and patient satisfaction.
  • Fog computing offers a distributed architecture to address these challenges by placing processing closer to the data source.

Purpose of the Study:

  • To conduct a systematic review of fog computing approaches in healthcare systems.
  • To explore, classify, and discuss the challenges and applications of fog computing in healthcare.
  • To identify open issues and future research directions in fog-based healthcare.

Main Methods:

  • Systematic literature review of fog-based healthcare systems.
  • Categorization of fog computing approaches into communication, application, and resource/service.
  • Comparative analysis based on tools, evaluation methods, and metrics.

Main Results:

  • Fog computing approaches in healthcare are classified into three main categories: communication, application, and resource/service.
  • Discussion and comparison of existing approaches based on their methodologies and evaluation criteria.
  • Identification of key challenges and open issues in the implementation of fog computing in healthcare.

Conclusions:

  • Fog computing presents a viable solution for enhancing healthcare systems by improving real-time response and reducing latency.
  • Further research is needed to address identified challenges and optimize fog-based healthcare solutions.
  • The systematic review provides a foundation for understanding the current landscape and future potential of fog computing in healthcare.