A Decision Support System For Skill-Based Nurse Scheduling In An Intensive Care Unit

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

gazi university journal of science Pub Date : 2023-04-17 DOI:10.35378/gujs.1218158

Orhan Parildar, Ç. Akyürek, D. Akay

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引用次数: 0

Abstract

The main goal of health institutions is to provide the health services needed by society at the desired quality with the lowest possible cost. Considering the total number of employees in health institutions, nurse assignment and scheduling have an essential role in increasing efficiency and improving service quality due to the one-to-one interaction of nurses with patients. This study proposes a nurse scheduling model based on nurses’ skill levels incorporated into a decision support system. The skill level of nurses is assessed using Analytic Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution method based on eight criteria. The nurse scheduling problem is then modeled with 0-1 Goal Programming, considering the skill assessment as a constraint. The applicability of the proposed model is examined for the assignment and scheduling conditions of nurses at the 3rd level of surgical intensive care in a general hospital, and the valuable aspects of the proposed approach are discussed. When the proposed solution is compared with the current situation, it is realized that one nurse is saved without worsening the constraints.

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重症监护病房基于技能的护士排班决策支持系统

卫生机构的主要目标是以尽可能低的成本以期望的质量提供社会所需的卫生服务。考虑到卫生机构的员工总数，由于护士与患者的一对一互动，护士的分配和调度在提高效率和提高服务质量方面发挥着至关重要的作用。本研究提出了一个基于护士技能水平的护士调度模型，并将其纳入决策支持系统。运用层次分析法和理想解相似排序偏好技术，以八个标准为基础，对护士的技能水平进行了评估。然后，将技能评估作为约束条件，用0-1目标规划对护士排班问题进行建模。检验了所提出的模型在综合医院外科重症监护三级护士分配和调度条件下的适用性，并讨论了所提出方法的宝贵方面。当将所提出的解决方案与当前情况进行比较时，可以实现在不恶化约束的情况下节省一名护士。

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

gazi university journal of science MULTIDISCIPLINARY SCIENCES-

CiteScore

1.60

自引率

11.10%

发文量

期刊介绍： The scope of the “Gazi University Journal of Science” comprises such as original research on all aspects of basic science, engineering and technology. Original research results, scientific reviews and short communication notes in various fields of science and technology are considered for publication. The publication language of the journal is English. Manuscripts previously published in another journal are not accepted. Manuscripts with a suitable balance of practice and theory are preferred. A review article is expected to give in-depth information and satisfying evaluation of a specific scientific or technologic subject, supported with an extensive list of sources. Short communication notes prepared by researchers who would like to share the first outcomes of their on-going, original research work are welcome.