A genetic algorithm for solving patient-priority- based elective surgery scheduling problem

  • Authors:

  • Yu Wang;Jiafu Tang;Gang Qu

  • Affiliations:

  • Dept. of Systems Engineering, College of Information Science & Engineering, Key Lab of Integrated Automation of Process Industry, Northeastern University, Shenyang, China;Dept. of Systems Engineering, College of Information Science & Engineering, Key Lab of Integrated Automation of Process Industry, Northeastern University, Shenyang, China;Dalian University, Dalian, China

  • Venue:
  • LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Surgery generates the largest cost and revenue in the hospital. The quality of operation directly affects the level of patient satisfaction and economic benefit. This paper focuses on partitioning patients into different priorities according to the state of illness, an optimization model with the aim of maximizing customer satisfaction is established under the consideration of a three-dimensional parameter constraint related patients, operating rooms and medical staffs. An Genetic algorithm is proposed with two-dimensional 0-1 encoding for solving the surgery scheduling problem with the data derived from an upper first-class hospital, the experimental results show the efficiency of the model and algorithm.