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- W2793977008 abstract "Nursing homes are challenged to develop staffing strategies that enable them to efficiently meet the healthcare demand of their residents. In this study, we investigate how demand for care and support fluctuates over time and during the course of a day, using demand data from three independent nursing home departments of a single Dutch nursing home. This demand data is used as input for an optimization model that provides optimal staffing patterns across the day. For the optimization we use a Lindley-type equation and techniques from stochastic optimization to formulate a Mixed-Integer Linear Programming (MILP) model. The impact of both the current and proposed staffing patterns, in terms of waiting time and service level, are investigated. The results show substantial improvements for all three departments both in terms of average waiting time as well as in 15 minutes service level. Especially waiting during rush hours is significantly reduced, whereas there is only a slight increase in waiting time during non-rush hours." @default.
- W2793977008 created "2018-03-29" @default.
- W2793977008 creator A5012492691 @default.
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- W2793977008 date "2018-03-12" @default.
- W2793977008 modified "2023-09-27" @default.
- W2793977008 title "Keeping pace with the ebbs and flows in daily nursing home operations" @default.
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- W2793977008 doi "https://doi.org/10.1007/s10729-018-9442-x" @default.
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