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Staff optimization for time-dependent acute patient flow

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  • Andersen, Anders Reenberg
  • Nielsen, Bo Friis
  • Reinhardt, Line Blander
  • Stidsen, Thomas Riis

Abstract

The emergency department is a key element of acute patient flow, but due to high demand and an alternating rate of arriving patients, the department is often challenged by insufficient capacity. Proper allocation of resources to match demand is, therefore, a vital task for many emergency departments.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ejores:v:272:y:2019:i:1:p:94-105
    DOI: 10.1016/j.ejor.2018.06.015
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    1. J. MacGregor Smith & F. R. B. Cruz & T. van Woensel, 2010. "Optimal server allocation in general, finite, multi‐server queueing networks," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(6), pages 705-736, November.
    2. Schwarz, Justus Arne & Selinka, Gregor & Stolletz, Raik, 2016. "Performance analysis of time-dependent queueing systems: Survey and classification," Omega, Elsevier, vol. 63(C), pages 170-189.
    3. 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.
    4. Cheang, B. & Li, H. & Lim, A. & Rodrigues, B., 2003. "Nurse rostering problems--a bibliographic survey," European Journal of Operational Research, Elsevier, vol. 151(3), pages 447-460, December.
    5. Ahmed, Mohamed A. & Alkhamis, Talal M., 2009. "Simulation optimization for an emergency department healthcare unit in Kuwait," European Journal of Operational Research, Elsevier, vol. 198(3), pages 936-942, November.
    6. D C Lane & C Monefeldt & J V Rosenhead, 2000. "Looking in the wrong place for healthcare improvements: A system dynamics study of an accident and emergency department," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(5), pages 518-531, May.
    7. Shuang Qing Liao & Ger Koole & Christian van Delft & Oualid Jouini, 2012. "Staffing a call center with uncertain non-stationary arrival rate and flexibility," Post-Print hal-00713790, HAL.
    8. Otis B. Jennings & Avishai Mandelbaum & William A. Massey & Ward Whitt, 1996. "Server Staffing to Meet Time-Varying Demand," Management Science, INFORMS, vol. 42(10), pages 1383-1394, October.
    9. David Sinreich & Ola Jabali & Nico Dellaert, 2012. "Reducing emergency department waiting times by adjusting work shifts considering patient visits to multiple care providers," IISE Transactions, Taylor & Francis Journals, vol. 44(3), pages 163-180.
    10. Defraeye, Mieke & Van Nieuwenhuyse, Inneke, 2016. "Staffing and scheduling under nonstationary demand for service: A literature review," Omega, Elsevier, vol. 58(C), pages 4-25.
    11. David Y. Sze, 1984. "OR Practice—A Queueing Model for Telephone Operator Staffing," Operations Research, INFORMS, vol. 32(2), pages 229-249, April.
    12. Zohar Feldman & Avishai Mandelbaum & William A. Massey & Ward Whitt, 2008. "Staffing of Time-Varying Queues to Achieve Time-Stable Performance," Management Science, INFORMS, vol. 54(2), pages 324-338, February.
    13. Ward Whitt, 2006. "Staffing a Call Center with Uncertain Arrival Rate and Absenteeism," Production and Operations Management, Production and Operations Management Society, vol. 15(1), pages 88-102, March.
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    6. Miguel Angel Ortíz-Barrios & Juan-José Alfaro-Saíz, 2020. "Methodological Approaches to Support Process Improvement in Emergency Departments: A Systematic Review," IJERPH, MDPI, vol. 17(8), pages 1-41, April.

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