Collaborative duty rostering in health care professions

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES Operations Research for Health Care Pub Date : 2020-12-01 DOI:10.1016/j.orhc.2020.100278
Sandy Heydrich, Rasmus Schroeder , Sebastian Velten
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引用次数: 3

Abstract

For nurses the duty roster and its reliability has a significant impact on the compatibility of work and private life. In the research project GamOR (Game of Roster) ergonomists, designers and mathematicians cooperated with application partners to address this issue and developed a novel collaborative planning process for creating duty rosters.

The collaborative planning process consists of two parts. On the one hand, employees are informed about conflicts among their wishes for free time and are encouraged to solve these conflicts within the team. On the other hand, decision makers are supported in the creation of the final roster.

In this paper we present Constraint Programming (CP) approaches to support both of these parts. Based on a set of CP model components, which model for example staff requirements and legal regulations, we introduce a domain driven algorithm for detecting conflicts of wishes and argue that it outperforms approaches known from the literature. Moreover, we develop a backtracking search for generating complete rosters. This is done by appropriate variable and value selection strategies reflecting the objectives — balanced work time accounts, alternating free weekends, lengths of shift sequences (total and with the same shift definition) and forward rotation.

The presented approach was introduced for testing in various institutions and has been positively evaluated by both nurses and decision makers. Nurses particularly appreciate the transparency and timely feedback of conflicts. For decision makers, the time saved when creating the duty roster is a great benefit.

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卫生保健专业的协作值班
护士值班表及其可靠性对护士工作与生活的兼容性有显著影响。在GamOR(名册游戏)研究项目中,人类工效学家、设计师和数学家与应用伙伴合作解决了这个问题,并开发了一种新的协作规划流程来创建值班表。协同规划过程包括两个部分。一方面,员工被告知他们对自由时间的愿望之间存在冲突,并被鼓励在团队内部解决这些冲突。另一方面,在编制最后的名册时支持决策者。在本文中,我们提出了约束规划(CP)方法来支持这两个部分。基于一组CP模型组件(例如对员工需求和法律法规进行建模),我们引入了一种用于检测愿望冲突的领域驱动算法,并认为它优于文献中已知的方法。此外,我们开发了一个回溯搜索来生成完整的名单。这是通过适当的变量和价值选择策略来实现的,这些策略反映了目标——平衡的工作时间账户、交替的自由周末、轮班序列的长度(总数和相同的轮班定义)和向前轮换。所提出的方法已在各机构进行了测试,并得到了护士和决策者的积极评价。护士尤其欣赏冲突的透明度和及时反馈。对于决策者来说,在创建值班表时节省的时间是一个很大的好处。
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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
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