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Evaluating Emergency Department Resource Capacity Using Simulation

Author

Listed:
  • Norazura Ahmad
  • Noraida Ghani
  • Anton Kamil
  • Razman Tahar
  • Aik Teo

Abstract

Emergency departments open 24 hours every day and may receive patients at any time most unexpectedly. Adequate resource planning to meet the various demands in emergency departments is arguably amongst the most critical challenges faced by hospital administrators due to the complexity of the system and diverse patient flows. In this paper, we present a computer simulation model to evaluate resource utilization among personnel and physical resources in a typical emergency department (ED) of a government hospital in Malaysia. The model allows administrators to see patient movement flows as well as how these flows are affected by resource capacity level in the ED. The use of this simulation model helps to evaluate ED operations, provides useful insight for possible areas of improvement, and directs the allocation of specific resources for maximal impact. Three scenarios were tested to find out the impact of patient surge on ED performance measures. Results from the scenarios show that a 30% increase of attendances according to triage zones affects most of the performance measures. In addition, medical assistants are the critical resources with average utilization greater than 70%.

Suggested Citation

  • Norazura Ahmad & Noraida Ghani & Anton Kamil & Razman Tahar & Aik Teo, 2012. "Evaluating Emergency Department Resource Capacity Using Simulation," Modern Applied Science, Canadian Center of Science and Education, vol. 6(11), pages 1-9, November.
    • Handle: RePEc:ibn:masjnl:v:6:y:2012:i:11:p:9
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    References listed on IDEAS

    as
    1. J B Jun & S H Jacobson & J R Swisher, 1999. "Application of discrete-event simulation in health care clinics: A survey," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(2), pages 109-123, February.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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