Demand for healthcare is increasing due to a growing and ageing population. Choosing an adequate schedule for medical staff can be a difficult dilemma for managers. The goal of nurse scheduling is to minimize the cost of the staff while maximizing their preferences and the overall benefits for the unit. This paper is focused on a new hybrid strategy based on detecting the optimal solution in nurse scheduling problem. The new proposed hybrid approach is obtained by combining case-based reasoning and general linear empirical model with arbitrary coefficients. The model is tested with original real-world data set obtained from the Oncology Institute of Vojvodina in Serbia.

中文翻译：

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基于案例的混合推理方法在护士调度问题中寻找最优解

由于人口的增长和老龄化，对医疗保健的需求正在增加。对于医务人员而言，选择适当的时间表可能是一个难题。安排护士的目的是在最大程度地降低员工成本的同时，最大限度地提高员工的偏好和部门的整体效益。本文重点研究了一种新的基于护士调度问题的最优解决方案的混合策略。通过将基于案例的推理和具有任意系数的一般线性经验模型相结合，获得了新的混合方法。该模型使用从塞尔维亚伏伊伏丁那肿瘤研究所获得的原始真实数据集进行了测试。