Volume 7 Number 9 (Sep. 2012)
Home > Archive > 2012 > Volume 7 Number 9 (Sep. 2012) >
JCP 2012 Vol.7(9): 2240-2247 ISSN: 1796-203X
doi: 10.4304/jcp.7.9.2240-2247

Medical Equipment Utility Analysis based on Queuing Theory

Xiaoqing Lu, Ruyu Tian, Shuming Guan
College of Science, Hebei United University, Tang Shan, China
Abstract—To improve the efficiency of hospital, reduce patients’ waiting time, as well as meet patients’ satisfaction, the optimization of patients’ queuing system which is based on the knowledge of queuing theory has the practical significance in the use of medical equipments. Based on the relevant data of the usage of B- ultrasound in a hospital, the distribution model of queuing theory has been analyzed by the χ2 test of goodness of fit, then being able to describe the law of probability of queuing system in a scientific and exact way, and finally the application of the hospital instruments will be arranged in the most efficient way. The wish model can be set and decided by two indexes: one is the average time of patients’ waiting time in queuing system, the other is the free rate of medical equipments, and then the director can identify the best status of the model. This method, on one hand, can optimize the hospital service, improve the efficiency as well as supply the scientific evidence and reference for the director to arrange the material and human resources reasonably; on the other hand, it can find out a balance between patients and hospitals through system optimization. In this way, not only can short the waiting time, but also can save the human resources and materials of the hospital. The paper also provides a theoretical basis for hospital administrators to manage and optimize medical equipment.

Index Terms—Queuing theory, medical equipment, fit test, optimization.

[PDF]

Cite: Xiaoqing Lu, Ruyu Tian, Shuming Guan, "Medical Equipment Utility Analysis based on Queuing Theory," Journal of Computers vol. 7, no. 9, pp. 2240-2247, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
  • Sep 16, 2019 News!

    Vol 14, No 9 has been published with online version   [Click]

  • Aug 16, 2019 News!

    Vol 14, No 8 has been published with online version   [Click]

  • Jul 19, 2019 News!

    Vol 14, No 7 has been published with online version   [Click]

  • Jun 21, 2019 News!

    Vol 14, No 6 has been published with online version   [Click]

  • Apr 28, 2019 News!

    Vol 14, No 5 has been published with online version 7 papers are published in this issue after peer review   [Click]

  • Read more>>