Controlling understaffing with conditional Value-at-Risk constraint for an integrated nurse scheduling problem under patient demand uncertainty

Fang He, Thierry Chaussalet and Rong Qu

Operations Research Perspectives, 2019, vol. 6, issue C

Abstract: Nursing workforce management is a challenging decision-making task in hospitals. The decisions are made across different timescales and levels from strategic long-term staffing budget to mid-term scheduling. These decisions are interconnected and impact each other, therefore are best taken by considering staffing and scheduling together. Moreover, this decision-making needs to be made in a stochastic setting to meet uncertain patient demand. A sufficient and cost-efficient staffing level with desirable schedule is essential to provide good working conditions for nurses and consequently good quality of care. On the other hand, understaffing can severely deteriorate the quality of care thus should be strictly controlled.

Keywords: Nurse scheduling; Stochastic programming; Patient demand uncertainty; Conditional Value-at-Risk (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:oprepe:v:6:y:2019:i:c:s2214716019300417

DOI: 10.1016/j.orp.2019.100119

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