不确定环境下基于FMEA方法的医院手术室住院时间缩短新扩展方法

Nazli Ghanbari Ghoushchi, Koohyar Ahmadzadeh, Saeid Jafarzadeh Ghoushchi
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引用次数: 9

摘要

手术室是医院必不可少的资源之一,优化管理可以实现手术室的高效利用。减少手术前进入手术室的时间,可以保证手术的准时进行和手术室的有效利用。本研究通过确定导致ORs延迟的主要失效模式来解决这一问题。被称为失效模式和影响分析(FMEA)的传统方法代表了用于确定给定过程中失效模式的主要技术之一。这涉及到为每个故障模式分配数字分数,目的是利用所得的风险优先级数字(RPN)来促进所述故障模式的识别。然而,RPN评分因一些不足而受到批评。本研究提出了一种三阶段方法来解决FMEA方法的一些缺点。初始阶段包括利用FMEA方法识别失效模式和评估RPN的关键要素。在此之后,第二阶段采用Z-BWM技术和专家的见解来确定五个基本因素的权重。最后,在第三阶段,根据前几个阶段的输出,使用提出的Z-ARAS方法对风险进行优先排序。该方法考虑了决定因素的不确定性,并赋予了不同的权重,同时也通过z数理论考虑了风险的可靠性。最后,将本文提出的方法与其他传统方法进行比较,验证了本文提出的方法在评估手术室管理失效模式方面的有效性。
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A New Extended Approach to Reduce Admission Time in Hospital Operating Rooms Based on the FMEA Method in an Uncertain Environment
Operating rooms (ORs) are one of the essential hospital resources and optimal management can result in efficient OR usage. The admission time reduction before surgery in the ORs can lead to on-time surgery and efficient use of ORs. This study addresses this issue by identifying the main failure modes that cause delays in ORs. The conventional methodology known as Failure Mode and Effects Analysis (FMEA) represents one of the prevailing techniques utilized for the purpose of ascertaining failure modes within a given process. This involves the assignment of numerical scores to each failure mode, with the intention of utilizing the resultant Risk Priority Number (RPN) to facilitate the identification of said failure modes. However, RPN scoring has been criticized for some deficiencies. This study proposes a three-phase approach to address some of the shortcomings of the FMEA method. The initial stage involves utilizing the FMEA approach to recognize failure modes and assess the crucial elements of RPN. Following this, the second stage employs the Z-BWM technique and expert insights to determine the weights of the five essential factors. Lastly, in the third phase, risks are prioritized using the proposed Z-ARAS method based on the outputs of the previous phases. This approach considers the uncertainty in the determining factors and assigns different weights to them, while also taking into account the reliability of the risks through the Z-Number theory. Finally, comparing the proposed approach with other traditional approaches, reinforces the usefulness of the proposed method in evaluating failure modes in OR management.
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