A Queueing Network Model of Patient Flow in an Accident and Emergency Department

  title={A Queueing Network Model of Patient Flow in an Accident and Emergency Department},
  author={Susanna W. M. Au-Yeung and Peter G. Harrison and William J. Knottenbelt},
In many complex processing systems with limited resources, fast response times are demanded, but are seldom delivered. This is an especially serious problem in healthcare systems providing critical patient care. In this paper, we develop a multiclass Markovian queueing network model of patient flow in the Accident and Emergency department of a major London hospital. Using real patient timing data to help parameterise the model, we solve for moments and probability density functions of patient… CONTINUE READING
Highly Cited
This paper has 51 citations. REVIEW CITATIONS
23 Citations
12 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 23 extracted citations

52 Citations

Citations per Year
Semantic Scholar estimates that this publication has 52 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 12 references

Simulating accident and emergency services with a generic process model

  • A. C. Virtue
  • Nosokinetic News,
  • 2005
1 Excerpt

Evaluating a new approach for improving care in an Accident and Emergency department: The NU-care project

  • L. Mayhew, E. Carney-Jones
  • Technical report,
  • 2003
1 Excerpt

An M/M/1 queue with aging priority

  • P. G. Harrison
  • In Proc. International Conference on Stochastic…
  • 2002
1 Excerpt

An Erlangbased stochastic model for patient flow

  • Murray J. Côté, William E. Stein
  • Omega: The International Journal of Management…
  • 2000
1 Excerpt

Emergency – but no accident – a systems dynamics study of an Accident and Emergency department

  • D. Lane, C. Monefeldt, J. Rosenhead
  • OR Insight,
  • 1998
1 Excerpt

An analysis of Emergency Room wait time issues via computer simulation

  • J. T. Blake, M. W. Carter
  • Information Systems and Operational Research…
  • 1996
1 Excerpt

Similar Papers

Loading similar papers…