Master in Production Engineering at Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
Production and Systems Engineering - Concentration Area - Business Management from the Federal University of Santa Catarina - UFSC (2004). Adjunct Professor at Federal University of Rio Grande do Norte, Natal, RN, Brazil.
BMC Med Inform Decis Mak. 2022 Jan 7;22(1):8. doi: 10.1186/s12911-022-01746-4.
In Brazil, many public hospitals face constant problems related to high demand vis-à-vis an overall scarcity of resources, which hinders the operations of different sectors such as the surgical centre, as it is considered one of the most relevant pillars for the proper hospital functioning, due to its complexity, criticality as well as economic and social importance. Proper asset management based on well-founded decisions is, therefore, a sine-qua-non condition for addressing such demands. However, subjectivity and other difficulties present in decisions make the management of hospital resources a constant challenge.
Thus, the present work proposes the application of a hybrid approach, formed by the QFD tools, fuzzy logic and SERVQUAL as a decision support tool for the quality planning of the surgical centre of the Onofre Lopes Teaching Hospital (Hospital Universitário Onofre Lopes-HUOL). To accomplish such objective, it was necessary to discover and analyse the main needs of the medical team working in the operating room, through the application of the SERVQUAL questionnaire, associated with fuzzy logic.
Then, the most relevant deficiencies were transformed into entries for the QFD-fuzzy, where they were translated into project requirements. Soon after, the analysis of the existing relationships between the inputs and these requirements was carried out, generating the ranking of actions with the greatest impact on the improvement of the surgical centre overall quality.
As a result, it was found that the proposed methodology can optimize the decision process to which hospital managers are submitted, improving the surgical centre operation efficiency.
在巴西，许多公立医院经常面临供需资源严重失衡的问题，这给医院的各个部门带来了阻碍，尤其是手术室，因为它是医院正常运转的最重要支柱之一，其复杂性、关键性以及经济和社会重要性不言而喻。因此，基于可靠决策的有效资产管理是满足这些需求的必要条件。然而，决策中的主观性和其他困难使得医院资源管理成为一个持续的挑战。
因此，本研究提出了一种混合方法的应用，该方法由 QFD 工具、模糊逻辑和 SERVQUAL 组成，作为奥诺弗雷·洛佩斯教学医院（奥诺弗雷·洛佩斯大学医院-HUOL）手术室质量规划的决策支持工具。为了实现这一目标，有必要通过 SERVQUAL 问卷和模糊逻辑应用程序，发现和分析在手术室工作的医疗团队的主要需求。
然后，将最相关的缺陷转化为 QFD-模糊的输入项，将其转化为项目需求。之后，对输入项和这些需求之间的现有关系进行了分析，生成了对提高手术中心整体质量影响最大的行动的排名。
结果表明，所提出的方法可以优化医院管理者所面临的决策过程，提高手术室的运营效率。
