• 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