Fog-based healthcare systems: A systematic review

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.