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患者安全设计:基于系统的风险识别框架

Design for patient safety: a systems-based risk identification framework.

作者信息

Simsekler M C Emre, Ward James R, Clarkson P John

机构信息

a Department of Industrial and Systems Engineering , Khalifa University of Science and Technology , Abu Dhabi , UAE.

b School of Management , University College London , London , UK.

出版信息

Ergonomics. 2018 Aug;61(8):1046-1064. doi: 10.1080/00140139.2018.1437224. Epub 2018 Feb 15.

DOI:10.1080/00140139.2018.1437224
PMID:29394872
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6116892/
Abstract

Current risk identification practices applied to patient safety in healthcare are insufficient. The situation can be improved, however, by studying systems approaches broadly and successfully utilised in other safety-critical industries, such as aviation and chemical industries. To illustrate this, this paper first investigates current risk identification practices in the healthcare field, and then examines the potential of systems approaches. A systems-based approach, called the Risk Identification Framework (RID Framework), is then developed to enhance improvement in risk identification. Demonstrating the strengths of using multiple inputs and methods, the RID Framework helps to facilitate the proactive identification of new risks. In this study, the potential value of the RID Framework is discussed by examining its application and evaluation, as conducted in a real-world healthcare setting. Both the application and evaluation of the RID Framework indicate positive results, as well as the need for further research. Practitioner Summary: The findings in this study provide insights into how to make a better amalgamation of risk identification inputs to the safer design and more proactive risk management of healthcare delivery systems, which have been an increasing research interest amongst human factor professionals and ergonomists.

摘要

当前应用于医疗保健领域患者安全的风险识别方法并不充分。然而,通过研究在航空和化工等其他对安全要求极高的行业中广泛且成功应用的系统方法,可以改善这种情况。为了说明这一点,本文首先调查了医疗保健领域当前的风险识别方法,然后探讨了系统方法的潜力。随后开发了一种基于系统的方法,称为风险识别框架(RID框架),以加强风险识别方面的改进。RID框架展示了使用多种输入和方法的优势,有助于促进对新风险的主动识别。在本研究中,通过考察RID框架在实际医疗环境中的应用和评估,讨论了其潜在价值。RID框架的应用和评估均显示出积极成果,同时也表明有必要进行进一步研究。从业者总结:本研究结果为如何更好地整合风险识别输入,以实现医疗保健提供系统更安全的设计和更主动的风险管理提供了见解,这在人为因素专业人员和工效学家中一直是日益增长的研究兴趣所在。

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