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Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm.

Xinyu Pang1, Yong-Feng Ge2, Kate Wang3

  • 1Guangdong Technion Israel Institute of Technology, Shantou, China.

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Summary
This summary is machine-generated.

A distributed genetic algorithm optimizes patient assignment in cloud healthcare systems, reducing wait times and improving resource use. This approach enhances system efficiency and scalability for better healthcare delivery.

Keywords:
Cloud healthcare systemDistributed genetic algorithmEvolutionary algorithmPatient assignment

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Area of Science:

  • Health Informatics
  • Artificial Intelligence
  • Optimization Algorithms

Background:

  • Cloud healthcare systems integrate Internet technologies with traditional healthcare.
  • These systems aim to balance online diagnosis and offline treatment.
  • Key challenges include reducing patient waiting times and optimizing medical resource utilization.

Purpose of the Study:

  • To propose a distributed genetic algorithm (DGA) for optimizing patient assignment (PA) in cloud healthcare systems.
  • To enhance the balance between online diagnosis and offline treatment.
  • To improve the efficiency and scalability of cloud healthcare systems.

Main Methods:

  • A distributed genetic algorithm (DGA) was developed for patient assignment optimization.
  • The DGA employs individuals as solutions, using crossover, mutation, and selection operators.
  • A distributed framework was implemented to boost population diversity and scalability.

Main Results:

  • The proposed DGA effectively optimizes the patient assignment problem in cloud healthcare.
  • Experimental results validated the algorithm's performance.
  • The DGA demonstrated improvements in balancing online and offline healthcare components.

Conclusions:

  • The DGA is a viable and effective method for optimizing patient assignment in cloud healthcare systems.
  • This approach contributes to reduced patient waiting times and better resource allocation.
  • The DGA framework offers enhanced diversity and scalability for cloud healthcare applications.