Keeping pace with the ebbs and flows in daily nursing home operations

被引:6
作者
Bekker, Rene [1 ]
Moeke, Dennis [2 ]
Schmidt, Bas [3 ]
机构
[1] Vrije Univ Amsterdam, Dept Math, Amsterdam, Netherlands
[2] HAN Univ Appl Sci, KennisDC Logistiek, Arnhem, Netherlands
[3] Deloitte, Amsterdam, Netherlands
关键词
Nursing home care; Scheduled care; Demand patterns; Staffing; Waiting times; Scheduling; QUALITY-OF-CARE; CALL CENTER; HEALTH-CARE; SCHEDULING PROBLEM; DEMAND; PERFORMANCE; FACILITIES; SIMULATION; ARRIVALS; SYSTEM;
D O I
10.1007/s10729-018-9442-x
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
收藏
页码:350 / 363
页数:14
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