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
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