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Improving patient flow in an obstetric unit

Author

Listed:
  • Jacqueline Griffin
  • Shuangjun Xia
  • Siyang Peng
  • Pinar Keskinocak

Abstract

No abstract is available for this item.

Suggested Citation

  • Jacqueline Griffin & Shuangjun Xia & Siyang Peng & Pinar Keskinocak, 2012. "Improving patient flow in an obstetric unit," Health Care Management Science, Springer, vol. 15(1), pages 1-14, March.
  • Handle: RePEc:kap:hcarem:v:15:y:2012:i:1:p:1-14
    DOI: 10.1007/s10729-011-9175-6
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    References listed on IDEAS

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    1. E. El‐Darzi & C. Vasilakis & T. Chaussalet & P.H. Millard, 1998. "A simulation modelling approach to evaluating length of stay, occupancy, emptiness and bed blocking in a hospital geriatric department," Health Care Management Science, Springer, vol. 1(2), pages 143-149, October.
    2. R. B. Fetter & J. D. Thompson, 1965. "The Simulation of Hospital Systems," Operations Research, INFORMS, vol. 13(5), pages 689-711, October.
    3. Styrborn, Karin & Thorslund, Mats, 1993. "`Bed-blockers': Delayed discharge of hospital patients in a nationwide perspective in Sweden," Health Policy, Elsevier, vol. 26(2), pages 155-170, December.
    4. F Gorunescu & S I McClean & P H Millard, 2002. "A queueing model for bed-occupancy management and planning of hospitals," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(1), pages 19-24, January.
    5. Elliott N. Weiss & Morris A. Cohen & John C. Hershey, 1982. "An Iterative Estimation and Validation Procedure for Specification of Semi-Markov Models with Application to Hospital Patient Flow," Operations Research, INFORMS, vol. 30(6), pages 1082-1104, December.
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    Citations

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    Cited by:

    1. Hideaki Takagi & Yuta Kanai & Kazuo Misue, 2017. "Queueing network model for obstetric patient flow in a hospital," Health Care Management Science, Springer, vol. 20(3), pages 433-451, September.
    2. Fournier, Derrick L. & Zaric, Gregory S., 2013. "Simulating neonatal intensive care capacity in British Columbia," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 131-141.
    3. Jingui Xie & Weifen Zhuang & Marcus Ang & Mabel C. Chou & Li Luo & David D. Yao, 2021. "Analytics for Hospital Resource Planning—Two Case Studies," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1863-1885, June.
    4. Chong Pan & Dali Zhang & Audrey Kon & Charity Wai & Woo Ang, 2015. "Patient flow improvement for an ophthalmic specialist outpatient clinic with aid of discrete event simulation and design of experiment," Health Care Management Science, Springer, vol. 18(2), pages 137-155, June.
    5. Hui Zhang & Thomas J. Best & Anton Chivu & David O. Meltzer, 2020. "Simulation-based optimization to improve hospital patient assignment to physicians and clinical units," Health Care Management Science, Springer, vol. 23(1), pages 117-141, March.
    6. Vahab Vahdat & Jacqueline Griffin & James E. Stahl, 2018. "Decreasing patient length of stay via new flexible exam room allocation policies in ambulatory care clinics," Health Care Management Science, Springer, vol. 21(4), pages 492-516, December.
    7. J. G. Dai & Pengyi Shi, 2017. "A Two-Time-Scale Approach to Time-Varying Queues in Hospital Inpatient Flow Management," Operations Research, INFORMS, vol. 65(2), pages 514-536, April.
    8. Jim G. Dai & Pengyi Shi, 2021. "Recent Modeling and Analytical Advances in Hospital Inpatient Flow Management," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1838-1862, June.
    9. Yuta Kanai & Hideaki Takagi, 2021. "Markov chain analysis for the neonatal inpatient flow in a hospital," Health Care Management Science, Springer, vol. 24(1), pages 92-116, March.

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