• DocumentCode
    2858234
  • Title

    Modeling patient visits to Accident and Emergency Department in Hong Kong

  • Author

    Xu, M. ; Wong, T.C. ; Chin, K.S. ; Wong, S.Y. ; Tsui, K.L.

  • Author_Institution
    Dept. of Syst. Eng. & Eng. Manage., Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    1730
  • Lastpage
    1734
  • Abstract
    Simulation emerges as an important technique in recent years for modeling complex operational dynamics in various healthcare institutions and hence providing deep insights for potential improvement. In particular, Accident and Emergency Department (A&ED) has been a place for such research as it accounts for a large proportion of the total hospital visits and admissions. To create a viable simulation for A&ED, accurate description and forecast of patient visits is the foremost step. This paper investigates several contributing factors to A&ED visits, and various time-series methods of modeling A&ED visits with different triage categories and mode of arrival. All the methods are compared in terms of goodness-of-fit and forecast accuracy. The purpose of this research is two-fold. First, this research is part of attempt to build a simulation model for A&ED of a local hospital. Second, the results may be useful for reexamine the resource allocation plan of the A&ED.
  • Keywords
    health care; hospitals; simulation; time series; Hong Kong; accident and emergency department; forecast accuracy; goodness-of-fit; healthcare institutions; hospital admissions; hospital visits; patient visit modelling; resource allocation plan; simulation model; time-series methods; Accuracy; Forecasting; Influenza; Linear regression; Meteorology; Modeling; Predictive models; Accident and Emergency Department; Simulation; forecasting; patient visits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6118212
  • Filename
    6118212