利用蓝图路线平衡持续护理和家庭护理计划成本

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES Operations Research for Health Care Pub Date : 2024-09-01 DOI:10.1016/j.orhc.2024.100441
Yoram Clapper , René Bekker , Joost Berkhout , Dennis Moeke
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引用次数: 0

摘要

在家庭护理环境中,高质量的护理通常与护理的连续性有关。此外,由于劳动力短缺造成的压力越来越大,因此需要具有成本效益的运营。本文的重点是在较长的时间跨度内,通过平衡轮班长度,获得具有成本效益的每日计划,同时确保护理的连续性(使用护理连续性指数)。为应对这一挑战,我们提出了一种基于蓝图路线的新方法。这种方法通过构建优化的班次和路线来生成每日班次表,同时考虑到旅行时间、(时间窗)等待时间和基于小时工资的班次成本。为确保护理工作的连续性,每天的排班决策都以名为 "蓝图路线 "的概念为战略指导。蓝图路线是预先优化的(部分)路线,有助于调整每日排班,从而在后续的护士轮班分配中实现护理的连续性。我们采用基于模型的进化算法来克服路由问题和护士轮班分配的 NP 难度。基于实际生活的数值实验证明,护理的连续性并不一定要大幅降低家庭护理计划的成本。
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Balancing continuity of care and home care schedule costs using blueprint routes

In a home care setting, high-quality care is typically associated with continuity of care. In addition, the increasing pressure due to labor shortages calls for cost-efficient operations. This paper focuses on obtaining cost-efficient daily schedules over a longer time horizon, with balanced shift lengths, while ensuring continuity of care (using the continuity of care index). To address this challenge, we propose a novel method based on blueprint routes. This method generates daily schedules by constructing optimized shifts and routes with regard to travel time, (time window) waiting time, and shift costs based on hourly wages. To ensure continuity of care, the daily scheduling decisions are strategically guided using the concept named blueprint routes. The blueprint routes are pre-optimized (partial) routes that help to align the daily schedules to achieve continuity of care in the subsequent nurse-to-shift assignment. Model-based evolutionary algorithms are employed to overcome the NP-hardness of the routing problem and nurse-to-shift assignment. Real-life-based numerical experiments demonstrate that continuity of care does not have to compromise home care schedule costs significantly.

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来源期刊
Operations Research for Health Care
Operations Research for Health Care HEALTH CARE SCIENCES & SERVICES-
CiteScore
3.90
自引率
0.00%
发文量
9
审稿时长
69 days
期刊最新文献
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