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1.
Journal of Biomedical Engineering ; (6): 607-612, 2011.
Article in Chinese | WPRIM | ID: wpr-359215

ABSTRACT

This paper was aimed to find an efficient plan for the arrangement of the beds in hospitals so that the bed-operating efficiency could be raised and the requirements of patients could be perfectly met. After analyzing the data using the method of mathematical statistics, we defined the concept of "Waste Index". In addition to the concept, we realized the auto-simulation of the model using the dynamic programming model, and design the program by MATLAB. We got the characteristics of bed-occupation conditions by data analysis. We obtained the result of optimizing model by programming and the most efficient plan which was obviously better than the traditional FCFS (First Come First Serve) plan. It can be well concluded that the mathematical model should be of great maneuverability in the practical situation to ameliorate the management efficiency of hospital beds considerably.


Subject(s)
Humans , China , Efficiency, Organizational , Hospital Administration , Hospital Bed Capacity , Models, Theoretical , Ophthalmology , Patient Admission
2.
Chinese Medical Equipment Journal ; (6)2003.
Article in Chinese | WPRIM | ID: wpr-596389

ABSTRACT

Objective To find an efficient plan for the arrangement of the beds in hospital so that the beds-operating efficiency can be raised and the requirement of patients can be perfectly met. Methods According to the data analyzed via the method of mathematical statistics, optimizing model was built and automatic stimulation program was generated as well as conducted by matlab software. Results The characteristics of bed-occupation condition was acquired by data analysis, the result of optimizing model was stimulated by program and the most efficient plan emerges which was obviously better than the original FCFS (First Come First Serve) Plan. Conclusion The mathematical model built up is of great maneuverability in the practical situation to ameliorate the management efficiency of hospital beds considerably.

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