Planning models for skills-sensitive surgical nurse staffing: a case study at a large academic medical center

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES

IISE Transactions on Healthcare Systems Engineering Pub Date : 2020-08-27 DOI:10.1080/24725579.2020.1805050

Maya Bam, Zheng Zhang, B. Denton, M. Duck, M. P. Van Oyen

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引用次数: 1

Abstract

Abstract Surgical nurses are essential resources in the surgery delivery system. However, staffing decisions present a challenge due to the stochastic nature of surgical demand, nurse availability, skill requirements, and hospital or union regulations. This research focuses on a case study based on collaboration with a large academic hospital. We present planning level optimization models to group surgical services into service teams with the goal of achieving fairness in nurse training time, overnight surgical volume, and balance size across teams. Once teams are created, we further assign shifts to services and teams, ensuring that a sufficient number of nurses are available for the demand. We present results that provide insight into optimal surgical nurse staff planning decisions, and show that the newly designed teams are more balanced with respect to the performance metrics, and at the same time lead to improved coverage of surgical demand.

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对技能敏感的外科护士人员配置的规划模型:一个大型学术医疗中心的案例研究

摘要外科护士是手术交付系统中必不可少的资源。然而，由于手术需求、护士可用性、技能要求以及医院或工会规定的随机性，人员配置决策提出了挑战。本研究的重点是与一家大型学术医院合作的案例研究。我们提出了计划级优化模型，将外科服务分组到服务团队中，目标是在护士培训时间、夜间手术量和团队规模平衡方面实现公平。一旦团队成立，我们将进一步为服务和团队分配班次，确保有足够数量的护士可以满足需求。我们提出的结果为最佳外科护士人员计划决策提供了见解，并表明新设计的团队在绩效指标方面更加平衡，同时提高了手术需求的覆盖率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IISE Transactions on Healthcare Systems Engineering Social Sciences-Safety Research

CiteScore

3.10

自引率

0.00%

发文量

期刊介绍： IISE Transactions on Healthcare Systems Engineering aims to foster the healthcare systems community by publishing high quality papers that have a strong methodological focus and direct applicability to healthcare systems. Published quarterly, the journal supports research that explores: · Healthcare Operations Management · Medical Decision Making · Socio-Technical Systems Analysis related to healthcare · Quality Engineering · Healthcare Informatics · Healthcare Policy We are looking forward to accepting submissions that document the development and use of industrial and systems engineering tools and techniques including: · Healthcare operations research · Healthcare statistics · Healthcare information systems · Healthcare work measurement · Human factors/ergonomics applied to healthcare systems Research that explores the integration of these tools and techniques with those from other engineering and medical disciplines are also featured. We encourage the submission of clinical notes, or practice notes, to show the impact of contributions that will be published. We also encourage authors to collect an impact statement from their clinical partners to show the impact of research in the clinical practices.