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Workload balancing for the nurse scheduling problem: A real-world case study from a French hospital

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  • Yasmine, Alaouchiche
  • Yassine, Ouazene
  • Farouk, Yalaoui
  • Hicham, Chehade

Abstract

To improve the efficiency and viability of healthcare organizations, it is crucial to enhance both the quality of patient care and the well-being of healthcare staff, particularly nurses. They play a vital role as a key human resource in healthcare, and their well-being and job satisfaction are significantly influenced by effective scheduling. Improved scheduling practices not only enhance the quality of care provided but also contribute to better job satisfaction and overall well-being of the nursing staff. Despite the importance of this task, nurse scheduling is often conducted manually by head nurses, which is both challenging and time-consuming. This study proposes a mathematical model that addresses the nurse scheduling problem, with a specific application in a French hospital department. The objectives of the model are to accommodate a wide range of constraints flexibly, ensure balanced workloads and shifts, and align with the preferences of the nursing staff. A significant contribution of this research is the theoretical investigation and comparison of various workload balancing criteria tailored to the specific context of the problem. The study analyzes different workload balancing criteria to formulate an efficient scheduling solution. The effectiveness of the proposed approach is demonstrated through large experiments and practice feedback, confirming its potential to enhance both healthcare efficiency and nurses’ well-being.

Suggested Citation

  • Yasmine, Alaouchiche & Yassine, Ouazene & Farouk, Yalaoui & Hicham, Chehade, 2024. "Workload balancing for the nurse scheduling problem: A real-world case study from a French hospital," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    • Handle: RePEc:eee:soceps:v:95:y:2024:i:c:s0038012124002453
    DOI: 10.1016/j.seps.2024.102046
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    References listed on IDEAS

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    1. Ferreira, Diogo Cunha & Nunes, Alexandre Morais & Marques, Rui Cunha, 2018. "Doctors, nurses, and the optimal scale size in the Portuguese public hospitals," Health Policy, Elsevier, vol. 122(10), pages 1093-1100.
    2. Sanja Petrovic, 2019. "“You have to get wet to learn how to swim” applied to bridging the gap between research into personnel scheduling and its implementation in practice," Annals of Operations Research, Springer, vol. 275(1), pages 161-179, April.
    3. Deborah L. Kellogg & Steven Walczak, 2007. "Nurse Scheduling: From Academia to Implementation or Not?," Interfaces, INFORMS, vol. 37(4), pages 355-369, August.
    4. Elina Rönnberg & Torbjörn Larsson & Ann Bertilsson, 2013. "Automatic Scheduling of Nurses: What Does It Take in Practice?," Springer Optimization and Its Applications, in: Panos M. Pardalos & Pando G. Georgiev & Petraq Papajorgji & Britta Neugaard (ed.), Systems Analysis Tools for Better Health Care Delivery, edition 127, pages 151-178, Springer.
    5. 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.
    6. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    7. Ichsan Rizany & Rr. Tutik Sri Hariyati & Efy Afifah & Rusdiyansyah, 2019. "The Impact of Nurse Scheduling Management on Nurses’ Job Satisfaction in Army Hospital: A Cross-Sectional Research," SAGE Open, , vol. 9(2), pages 21582440198, June.
    8. Elín Björk Böðvarsdóttir & Niels-Christian Fink Bagger & Laura Elise Høffner & Thomas J. R. Stidsen, 2022. "A flexible mixed integer programming-based system for real-world nurse rostering," Journal of Scheduling, Springer, vol. 25(1), pages 59-88, February.
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