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An Edge Computing Based Smart Healthcare Framework for Resource Management.

Soraia Oueida1, Yehia Kotb2, Moayad Aloqaily3

  • 1Politehnica University of Bucharest, 060042 Bucharest, Romania. Soraia.Oueida@upb.ro.

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Summary
This summary is machine-generated.

This study introduces a Resource Preservation Net (RPN) framework using cloud and edge computing to optimize emergency department (ED) operations. The RPN framework significantly improves patient length of stay, resource utilization, and waiting times in smart healthcare systems.

Keywords:
Petri net workflowcloud computingedge computingemergency departmentsmart citysmart healthcare managementworkflow soundness

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Area of Science:

  • Healthcare Systems Engineering
  • Computer Science
  • Operations Research

Background:

  • Smart systems and the Internet of Things (IoT) are increasingly integrated into industrial and city infrastructure.
  • Healthcare, particularly emergency departments (EDs), requires efficient resource management due to its 24/7 dynamic nature.
  • Existing ED systems face challenges with resource shortages and inefficient assignment, impacting patient flow and care.

Purpose of the Study:

  • To propose a novel Resource Preservation Net (RPN) framework for modeling and optimizing emergency department (ED) systems.
  • To integrate cloud and edge computing within the RPN framework for enhanced healthcare system efficiency.
  • To address key performance indicators like patient length of stay (LoS), resource utilization, and average waiting time.

Main Methods:

  • Development of a Resource Preservation Net (RPN) framework based on Petri net theory.
  • Integration of custom cloud and edge computing architectures tailored for ED environments.
  • Theoretical description, validation, and simulation of the RPN framework in a real-life ED scenario.

Main Results:

  • The RPN framework successfully models non-consumable resources within ED systems.
  • Simulations demonstrated significant improvements in patient length of stay (LoS).
  • The framework led to enhanced resource utilization rates and reduced average patient waiting times.

Conclusions:

  • The proposed RPN framework, coupled with cloud and edge computing, offers a reliable, efficient, and secure solution for ED management.
  • This approach effectively optimizes critical performance metrics in smart healthcare settings.
  • The RPN framework provides a viable strategy for improving operational efficiency in complex, real-time healthcare systems.