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Improving Quality and Efficiency in Home Health Care: an application of Constraint Logic Programming for the Ferrara NHS unit

机译:提高家庭保健的质量和效率:约束逻辑程序在费拉拉NHs装置中的应用

摘要

Although sometimes it is necessary, no one likes to stay in a hospital, and patients who need to stay in bed but do not require constant medical surveillance prefer their own bed at home. Atthe same time, a patient in a hospital has a high cost for the community, that is not acceptable if the patient needs service only a few minutes a day.For these reasons, the current trend in Europe and North-America is to send nurses to visit patients in their home: this choice reduces costs for the community and gives better quality of life to patients. On the other hand, it introduces the combinatorial problem of assigning patients to the available nurses in order to maximize the quality of service, without having nurses travel for overly long distances.In this paper, we describe the problem as a practical application of Constraint Logic Programming. We first introduce the problem, as it is currently addressed by the nurses in the National Health Service (NHS) in Ferrara, a mid-sized city in the North of Italy. Currently, the nurses solve the problem by hand, and this introduces several inefficiencies in the schedules.We formalize the problem, obtained by interacting with the nurses in the NHS, into a Constraint Logic Programming model. In order to solve the problem efficiently, we implemented a new constraint that tackles with the routing part of the problem. We propose a declarativesemantics for the new constraint, and an implementation based on an external solver.
机译:尽管有时有必要,但没人喜欢留在医院,并且需要卧床但不需要持续医疗监视的患者更喜欢在家中自己的床。同时,医院的病人对社区的花费很高,如果病人每天仅需要几分钟的服务,这是不可接受的。由于这些原因,欧洲和北美目前的趋势是派遣护士在家中探望患者:这种选择降低了社区成本,并为患者提供了更好的生活质量。另一方面,它介绍了将患者分配给可用护士以最大程度地提高服务质量而又不让护士长途旅行的组合问题。在本文中,我们将该问题描述为约束逻辑的实际应用编程。我们首先介绍这个问题,目前位于意大利北部中型城市费拉拉的国家卫生局(NHS)的护士正在解决该问题。当前,护士们手工解决问题,这在日程安排中引入了一些效率低下的问题。我们将通过与NHS中的护士互动而获得的问题正式化为约束逻辑编程模型。为了有效解决问题,我们实施了一个新的约束来解决问题的路由部分。我们为新约束提出了一种声明式语义,并提出了一个基于外部求解器的实现。

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