Agent-Based Modeling and Simulation as a Tool for Decision Support for Managing Patient Falls in a Dynamic Hospital Setting

  • Gokul Bhandari
  • Ziad Kobti
  • Anne W. Snowdon
  • Ashish Nakhwal
  • Shamual Rahaman
  • Carol A. Kolga
Part of the Annals of Information Systems book series (AOIS, volume 14)


Patient falls are one of the most reported safety incidents in North American hospitals and their management is a critical healthcare priority because of their adverse impact on patient welfare as well as being a potential cause for litigation. Agent-based modeling and simulation has been widely used in healthcare as a tool for decision support. This paper discusses empirical findings from such a simulation study designed to understand the impact of critical nursing service parameters such as interaction time delay, number of nursing staff available for work, shift duration (8 h vs. 12 h), and patient acuity level on the percentage of patients successfully served in a timely manner by the nurses, thereby lowering the potential falls by the patients.


Night Shift Complex Adaptive System Patient Room Patient Safety Cultural Nurse Station 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We thank CIHR/Auto21 and NSERC Discovery Grant for their generous financial support. We also appreciate the assistance provided by Paul Preney in the earlier work on this project and the nurses from the Leamington District Memorial Hospital without whose support this study would not have been possible.


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Copyright information

© Springer New York 2011

Authors and Affiliations

  • Gokul Bhandari
    • 1
  • Ziad Kobti
    • 2
  • Anne W. Snowdon
    • 1
  • Ashish Nakhwal
    • 2
  • Shamual Rahaman
    • 2
  • Carol A. Kolga
    • 3
  1. 1.Odette School of Business, University of WindsorWindsorCanada
  2. 2.Department of Computer ScienceUniversity of WindsorWindsorCanada
  3. 3.Kingston General HospitalKingstonCanada

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