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Centralized nurse scheduling to simultaneously improve schedule cost and nurse satisfaction

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  • Wright, P. Daniel
  • Mahar, Stephen

Abstract

Nursing managers are faced with rising turnover and shortages of qualified nursing staff. At the same time they are under increased pressure to simultaneously increase patient care and satisfaction while reducing costs. In this study, we examine the impact of centralizing scheduling decisions across departments in a hospital. By pooling nurses from multiple units and scheduling them in one model, improved costs and reduced overtime result. Reduced overtime improves schedules for nurses. Improved satisfaction levels can positively impact turnover rates among nurses. Our results show that by using a centralized model, nursing managers in hospitals can improve the desirability of nurse schedules by approximately 34% and reduce overtime by approximately 80% while simultaneously reducing costs by just under 11%.

Suggested Citation

  • Wright, P. Daniel & Mahar, Stephen, 2013. "Centralized nurse scheduling to simultaneously improve schedule cost and nurse satisfaction," Omega, Elsevier, vol. 41(6), pages 1042-1052.
  • Handle: RePEc:eee:jomega:v:41:y:2013:i:6:p:1042-1052
    DOI: 10.1016/j.omega.2012.08.004
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    1. Lapierre, Sophie D. & Goldsman, David & Cochran, Roger & DuBow, Janice, 1999. "Bed allocation techniques based on census data," Socio-Economic Planning Sciences, Elsevier, vol. 33(1), pages 25-38, March.
    2. Belií«n, Jeroen & Demeulemeester, Erik, 2008. "A branch-and-price approach for integrating nurse and surgery scheduling," European Journal of Operational Research, Elsevier, vol. 189(3), pages 652-668, September.
    3. Edieal J. Pinker & Robert A. Shumsky, 2000. "The Efficiency-Quality Trade-Off of Cross-Trained Workers," Manufacturing & Service Operations Management, INFORMS, vol. 2(1), pages 32-48, July.
    4. D. Michael Warner & Juan Prawda, 1972. "A Mathematical Programming Model for Scheduling Nursing Personnel in a Hospital," Management Science, INFORMS, vol. 19(4-Part-1), pages 411-422, December.
    5. Gerard M. Campbell, 1999. "Cross-Utilization of Workers Whose Capabilities Differ," Management Science, INFORMS, vol. 45(5), pages 722-732, May.
    6. Mark Isken, 2004. "An Implicit Tour Scheduling Model with Applications in Healthcare," Annals of Operations Research, Springer, vol. 128(1), pages 91-109, April.
    7. 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.
    8. D. Michael Warner, 1976. "Scheduling Nursing Personnel According to Nursing Preference: A Mathematical Programming Approach," Operations Research, INFORMS, vol. 24(5), pages 842-856, October.
    9. Holmes E. Miller & William P. Pierskalla & Gustave J. Rath, 1976. "Nurse Scheduling Using Mathematical Programming," Operations Research, INFORMS, vol. 24(5), pages 857-870, October.
    10. Jaumard, Brigitte & Semet, Frederic & Vovor, Tsevi, 1998. "A generalized linear programming model for nurse scheduling," European Journal of Operational Research, Elsevier, vol. 107(1), pages 1-18, May.
    11. Millar, Harvey H. & Kiragu, Mona, 1998. "Cyclic and non-cyclic scheduling of 12 h shift nurses by network programming," European Journal of Operational Research, Elsevier, vol. 104(3), pages 582-592, February.
    12. Vandankumar M. Trivedi & D. Michael Warner, 1976. "A Branch and Bound Algorithm for Optimum Allocation of Float Nurses," Management Science, INFORMS, vol. 22(9), pages 972-981, May.
    13. James G. Morris & Michael J. Showalter, 1983. "Simple Approaches to Shift, Days-Off and Tour Scheduling Problems," Management Science, INFORMS, vol. 29(8), pages 942-950, August.
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    19. Fügener, Andreas & Pahr, Alexander & Brunner, Jens O., 2018. "Mid-term nurse rostering considering cross-training effects," International Journal of Production Economics, Elsevier, vol. 196(C), pages 176-187.

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