• DocumentCode
    2064079
  • Title

    A Markov chain approach to study flow disruptions on surgery in emergency care

  • Author

    Xiufeng Shao ; Jingshan Li ; Wiegmann, Douglas A.

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Univ. of Wisconsin, Madison, WI, USA
  • fYear
    2013
  • fDate
    17-20 Aug. 2013
  • Firstpage
    990
  • Lastpage
    995
  • Abstract
    The work flow of surgical operations in emergency department can be interrupted due to various disruptions. Reducing such disruptions is of significant importance to ensure successful operations. In this paper, we introduce a continuous time Markov chain model to analyze the disruptions and their impacts. Analytical formulas have been derived to evaluate the probabilities of normal operations and disruptions. A continuous improvement method has been developed to identify the disruption that impedes surgical operation in the strongest manner. Such a disruption is referred to as the bottleneck disruption (BN-d). Reducing the interruption time of the BNd can lead to the largest improvement in normal operation. An application of the method at an emergency department of a large academic medical center is presented to illustrate the effectiveness of the model and the improvement approach. It is discovered that the disruption due to coordination problem is the system bottleneck.
  • Keywords
    Markov processes; patient care; probability; surgery; analytical formulas; bottleneck disruption; continuous improvement method; continuous time Markov chain model; emergency care; emergency department; flow disruptions; large academic medical center; normal operation probabilities; surgical operations; work flow; Analytical models; Interrupters; Markov processes; Probability; Steady-state; Surgery; System performance; Emergency care; bottleneck; continuous time Markov chain; flow disruptions; surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2013 IEEE International Conference on
  • Conference_Location
    Madison, WI
  • ISSN
    2161-8070
  • Type

    conf

  • DOI
    10.1109/CoASE.2013.6654059
  • Filename
    6654059