Azizi Fatemeh, Tavakkoli-Moghaddam Reza, Hamid Mahdi, Siadat Ali, Samieinasab Mina
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran; Arts et Métiers Institute of Technology, Université de Lorraine, LCFC, HESAM Université, F-57070, Metz, France.
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran; Arts et Métiers Institute of Technology, Université de Lorraine, LCFC, HESAM Université, F-57070, Metz, France; Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Comput Biol Med. 2022 Feb;141:105148. doi: 10.1016/j.compbiomed.2021.105148. Epub 2021 Dec 17.
Operating rooms are among the most high-risk and vital parts of a hospital. Therefore, one of the most fundamental tasks of risk management is maintaining the safety of operating rooms. Resilience engineering (RE) can be introduced as a model for overcoming problems, and it seeks ways to raise success rates by focusing on and addressing complexities. To this end, an RE-based framework is presented to evaluate the performance of operating rooms. First, the RE indicators are identified, and the relative importance of each is calculated via the best-worst method (BWM). Subsequently, the required data are collected from operating room experts using a standard questionnaire. Next, a data envelopment analysis (DEA) method is employed to evaluate the performance of operating rooms in the study case. Lastly, drawing upon the sensitivity analysis and statistical tests, the effect of each RE indicator is examined on the surgical department. Accordingly, some improvement approaches are proposed. Besides, SWOT (strengths, weaknesses, opportunities, and threats) analysis is used to extract appropriate strategies to improve performance. To the best of our knowledge, this paper is the first to evaluate the performance of operating rooms quantitatively in terms of RE indicators, and the framework presented in this paper can have practical applications in different operating rooms.
手术室是医院中风险最高且至关重要的部分之一。因此，风险管理的最基本任务之一就是维护手术室的安全。弹性工程（RE）可作为一种解决问题的模型引入，它通过关注并解决复杂性来寻求提高成功率的方法。为此，提出了一个基于RE的框架来评估手术室的绩效。首先，确定RE指标，并通过最佳最差法（BWM）计算每个指标的相对重要性。随后，使用标准问卷从手术室专家那里收集所需数据。接下来，采用数据包络分析（DEA）方法评估研究案例中手术室的绩效。最后，通过敏感性分析和统计检验，考察每个RE指标对外科的影响。据此，提出了一些改进方法。此外，还使用SWOT（优势、劣势、机会和威胁）分析来提取提高绩效的适当策略。据我们所知，本文首次从RE指标的角度对手术室绩效进行定量评估，本文提出的框架可在不同手术室中具有实际应用价值。
