Research on Influence Factors of Average Length of Stay Based on Degree of Grey Entropy / 现代生物医学进展
Progress in Modern Biomedicine
; (24): 4273-4276, 2017.
Article
in Chinese
| WPRIM (Western Pacific)
| ID: wpr-606862
Responsible library:
WPRO
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.
Full text:
Available
Database:
WPRIM (Western Pacific)
Type of study:
Prognostic study
Language:
Chinese
Journal:
Progress in Modern Biomedicine
Year:
2017
Document type:
Article