Research on Influence Factors of Average Length of Stay Based on Degree of Grey Entropy
10.13241/j.cnki.pmb.2017.22.016
- VernacularTitle:基于灰熵关联的平均住院日影响因素研究
- Author:
Xuemei LI
;
Wei ZHANG
;
Xiaojing MENG
;
Zhiyi ZHANG
- Keywords:
Grey entropy;
Average length of stay;
Influence factors
- From:
Progress in Modern Biomedicine
2017;17(22):4273-4276
- CountryChina
- Language:Chinese
-
Abstract:
Objective:Providing reference basis for effective shorten the average length of stay,this article analyses degree of the medical treatment index and the average length of stay.Methods:This article establishes a model of the weighted grey incidence of optimized grey entropy,and analyzes the influence of the medical treatment index for the average length of stay.Results:According to analyze correlation degree,the influence of the medical treatment index for the average length of stay in order of importance is open berths to count,bunk down times,treatment effectiveness,beds rate of utilization of hospital beds,annual outpatient service quantity,hospital surgery people number and discharge.Conclusions:Weighted grey incidence analysis method based on optimized grey entropy can effectively analyze influence degree of the medical treatment index for the average length of stay,and improving the quality of medical services.
