• DocumentCode
    2370473
  • Title

    Estimating the distribution of surgical durations based on eliminating the abnormal data

  • Author

    Nan, Li ; Li, Luo

  • Author_Institution
    Bus. Sch., Sichuan Univ., Chengdu, China
  • fYear
    2011
  • fDate
    25-27 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    There are many manual errors about the records of surgical durations. Meanwhile, the extreme short and long records have an extremely small probability. The author provides a resample method to eliminating those data that are defined as abnormally small and big and test whether the distribution of surgical durations is log-normal distribution. The results proposed that doctors are still fit for log-normal distribution. Managers should urge the surgeons to complete surgeries without exceeding the surgical duration limit. By this way, productivity of the operation rooms will be improved to higher level.
  • Keywords
    hospitals; log normal distribution; medical administrative data processing; surgery; abnormal data elimination; log-normal distribution; manual errors; operation room productivity; resample method; surgeries; surgical duration distribution; surgical duration limit; Data models; Fitting; Frequency measurement; Hospitals; Log-normal distribution; Surgery; distribution model; eliminating abnormal data; resampling; surgical duration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2011 8th International Conference on
  • Conference_Location
    Tianjin
  • ISSN
    2161-1890
  • Print_ISBN
    978-1-61284-310-0
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2011.5959513
  • Filename
    5959513