Kalender Zeynep Tugce, Tozan Hakan, Vayvay Ozalp
Department of Industrial Engineering, Faculty of Engineering, Marmara University, 34722 Istanbul, Turkey.
School of Engineering and Natural Sciences, Istanbul Medipol University, 34810 Istanbul, Turkey.
Healthcare (Basel). 2020 Aug 12;8(3):265. doi: 10.3390/healthcare8030265.
Medical errors negatively affect patients, healthcare professionals, and healthcare establishments. Therefore, all healthcare service members should be attentive to medical errors. Research has revealed that most medical errors are caused by the system, rather than individuals. In this context, guaranteeing patient safety and preventing medical faults appear to be basic elements of quality in healthcare services. Healthcare institutions can create internal regulations and follow-up plans for patient safety. While this is beneficial for the dissemination of patient safety culture, it poses difficulties in terms of auditing. On the other hand, the lack of a standard patient safety management system, has led to great variation in the quality of the provided service among hospitals. Therefore, this study aims to create an index system to create a standard system for patient safety by classifying medical errors. Due to the complex nature of healthcare and its processes, interval-valued intuitionistic fuzzy logic is used in the proposed index system. Medical errors are prioritized, based on the index scores that are generated by the proposed model. Because of this systematic study, not only can the awareness of patient safety perception be increased in health institutions, but their present situation can also be displayed, on the basis of each indicator. It is expected that the outcomes of this study will motivate institutions to identify and prioritize their future improvements in the patient safety context.
医疗差错会对患者、医护人员和医疗机构产生负面影响。因此，所有医疗服务人员都应关注医疗差错。研究表明，大多数医疗差错是由系统造成的，而非个人原因。在此背景下，保障患者安全和预防医疗失误似乎是医疗服务质量的基本要素。医疗机构可以制定患者安全的内部规章制度和后续计划。虽然这有利于患者安全文化的传播，但在审计方面存在困难。另一方面，缺乏标准的患者安全管理系统导致医院提供的服务质量存在很大差异。因此，本研究旨在创建一个指标体系，通过对医疗差错进行分类来建立患者安全的标准体系。由于医疗保健及其流程的复杂性，在所提出的指标体系中使用了区间值直觉模糊逻辑。根据所提出模型生成的指标得分对医疗差错进行优先级排序。通过这项系统性研究，不仅可以提高医疗机构对患者安全认知的意识，还能根据各项指标展示其现状。预计本研究的结果将促使各机构在患者安全方面识别并优先考虑其未来的改进措施。
