• DocumentCode
    77545
  • Title

    Bottleneck Analysis to Reduce Surgical Flow Disruptions: Theory and Application

  • Author

    Xiufeng Shao ; Xiang Zhong ; Jingshan Li ; Gewertz, Bruce L. ; Catchpole, Ken ; Ley, Eric J. ; Blaha, Jennifer ; Wiegmann, Douglas A.

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Univ. of Wisconsin, Madison, WI, USA
  • Volume
    12
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    127
  • Lastpage
    139
  • Abstract
    The work flow of surgical operations in emergency department and operating rooms 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. Specifically, the bottleneck disruption can be further categorized with respect to interruption time (BN- t) and frequency (BN- f), so that reducing the interruption time and frequency of the bottleneck, respectively, 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.
  • Keywords
    Markov processes; health care; bottleneck disruption; bottleneck frequency reduction; bottleneck interruption time reduction; continuous improvement method; continuous-time Markov chain model; emergency department; operating rooms; surgical flow disruption reduction; surgical operations; Analytical models; Hospitals; Interrupters; Markov processes; Surgery; System performance; Time-frequency analysis; Bottleneck; continuous-time Markov chain (CTMC); emergency care; flow disruptions; surgery;
  • fLanguage
    English
  • Journal_Title
    Automation Science and Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5955
  • Type

    jour

  • DOI
    10.1109/TASE.2014.2329833
  • Filename
    6847248