DocumentCode :
2221669
Title :
Analyzing total knee arthroplasty using surgical volume of different hospital levels
Author :
Cheng, Y.T. ; Cheng, C.H. ; Chen, J.S.
Author_Institution :
Dept. of Inf. Manage., Nat. Yunlin Univ. of Sci. & Technol., Taiwan
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
128
Lastpage :
132
Abstract :
The purpose of this research is to discover valuable medical facts by mining TKA (total knee arthroplasty) surgical volume of three different hospital levels from Taiwan NHI (National Health Insurance) database. In this paper, there are three main objectives provided: (1) to build up the learning curves using the patients¿ outcomes of three different hospital levels; (2) to characterize whether TKA surgical volume correlates with infection rate and mortality rate; and (3) to examine whether there are differences in the infection rate and mortality rate pair-wise comparisons among medical center, district hospital, and local hospital. After building up the learning curves, the results of Z-test confirm the differences between these three observed levels. For verification, we¿ve interviewed five specialist surgeons with a semi-structure questionnaire containing some close questions and some open-end, and the investigative results are consistent with the results from data analysis.
Keywords :
data analysis; data mining; medical information systems; surgery; Z-test; data analysis; hospital levels; learning curves; medical facts; surgical volume mining; total knee arthroplasty; Arthritis; Costs; Data analysis; Databases; Diseases; Health information management; Hospitals; Knee; Pain; Surgery; learning curve; surgical volume; total knee arthroplasty (TKA);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
Type :
conf
DOI :
10.1109/IEEM.2008.4737845
Filename :
4737845
Link To Document :
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