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Using queuing theory to analyse the Government’s 4-h completion time target in Accident and Emergency departments

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  • L. Mayhew
  • D. Smith

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  • L. Mayhew & D. Smith, 2008. "Using queuing theory to analyse the Government’s 4-h completion time target in Accident and Emergency departments," Health Care Management Science, Springer, vol. 11(1), pages 11-21, March.
  • Handle: RePEc:kap:hcarem:v:11:y:2008:i:1:p:11-21
    DOI: 10.1007/s10729-007-9033-8
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    References listed on IDEAS

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    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.
    2. S C Brailsford & V A Lattimer & P Tarnaras & J C Turnbull, 2004. "Emergency and on-demand health care: modelling a large complex system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(1), pages 34-42, January.
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    Citations

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    Cited by:

    1. Izady, Navid & Worthington, Dave, 2012. "Setting staffing requirements for time dependent queueing networks: The case of accident and emergency departments," European Journal of Operational Research, Elsevier, vol. 219(3), pages 531-540.
    2. Alexis Roussel & Romain Biard & Marc Deschamps & Mostapha Diss, 2023. "Modeling medical material shortage using Markov processes," Working Papers 2023-04, CRESE.
    3. Amir Elalouf & Guy Wachtel, 2022. "Queueing Problems in Emergency Departments: A Review of Practical Approaches and Research Methodologies," SN Operations Research Forum, Springer, vol. 3(1), pages 1-46, March.
    4. G Royston, 2009. "One hundred years of Operational Research in Health—UK 1948–2048," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 169-179, May.
    5. Andersen, Anders Reenberg & Nielsen, Bo Friis & Reinhardt, Line Blander & Stidsen, Thomas Riis, 2019. "Staff optimization for time-dependent acute patient flow," European Journal of Operational Research, Elsevier, vol. 272(1), pages 94-105.
    6. Bonneuil, Noël, 2021. "Optimal age- and sex-based management of the queue to ventilators during the Covid-19 crisis," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    7. Xiang Zhong & Jie Song & Jingshan Li & Susan M. Ertl & Lauren Fiedler, 2016. "Design and analysis of gastroenterology (GI) clinic in Digestive Health Center of University of Wisconsin Health," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 90-119, June.
    8. Louise Hoyle & Aimee Grant, 2015. "Treatment targets in emergency departments: nurses’ views of how they affect clinical practice," Journal of Clinical Nursing, John Wiley & Sons, vol. 24(15-16), pages 2211-2218, August.
    9. Zexian Zeng & Zhenghao Fan & Xiaolei Xie & Colleen H. Swartz & Paul DePriest & Jingshan Li, 2020. "A two-level iteration approach for modeling and analysis of rapid response process with multiple deteriorating patients," Flexible Services and Manufacturing Journal, Springer, vol. 32(1), pages 35-71, March.
    10. Aimee Grant & Louise Hoyle, 2017. "Print media representations of UK Accident and Emergency treatment targets: Winter 2014–2015," Journal of Clinical Nursing, John Wiley & Sons, vol. 26(23-24), pages 4425-4435, December.
    11. Junwen Wang & Jingshan Li & Patricia Howard, 2013. "A system model of work flow in the patient room of hospital emergency department," Health Care Management Science, Springer, vol. 16(4), pages 341-351, December.
    12. Friebel, Rocco & Juarez, Rosa M., 2020. "Spill Over Effects of Inpatient Bed Capacity on Accident and Emergency Performance in England," Health Policy, Elsevier, vol. 124(11), pages 1182-1191.
    13. Ionut NICA, 2020. "Operational Research in the Emergency Medical System of Romania," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 11(1), pages 3-13.
    14. Ludwig Kuntz & Sandra Sülz, 2013. "Treatment speed and high load in the Emergency Department—does staff quality matter?," Health Care Management Science, Springer, vol. 16(4), pages 366-376, December.

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