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进行现场模拟心脏骤停演练以检测系统漏洞。

In situ simulated cardiac arrest exercises to detect system vulnerabilities.

作者信息

Barbeito Atilio, Bonifacio Alberto, Holtschneider Mary, Segall Noa, Schroeder Rebecca, Mark Jonathan

机构信息

From the Duke University Medical Center (A.Ba., N.S., R.S., J.M.), and DVAMC Simulation Center (M.H.), VA Medical Center, Durham; University of North Carolina-Chapel Hill (A.Bo.), Chapel Hill, NC.

出版信息

Simul Healthc. 2015 Jun;10(3):154-62. doi: 10.1097/SIH.0000000000000087.

Abstract

INTRODUCTION

Sudden cardiac arrest is the leading cause of death in the United States. Despite new therapies, progress in this area has been slow, and outcomes remain poor even in the hospital setting, where providers, drugs, and devices are readily available. This is partly attributed to the quality of resuscitation, which is an important determinant of survival for patients who experience cardiac arrest. Systems problems, such as deficiencies in the physical space or equipment design, hospital-level policies, work culture, and poor leadership and teamwork, are now known to contribute significantly to the quality of resuscitation provided.

METHODS

We describe an in situ simulation-based quality improvement program that was designed to continuously monitor the cardiac arrest response process for hazards and defects and to detect opportunities for system optimization.

RESULTS

A total of 72 simulated unannounced cardiac arrest exercises were conducted between October 2010 and September 2013 at various locations throughout our medical center and at different times of the day. We detected several environmental, human-machine interface, culture, and policy hazards and defects. We used the Systems Engineering Initiative for Patient Safety (SEIPS) model to understand the structure, processes, and outcomes related to the hospital's emergency response system. Multidisciplinary solutions were crafted for each of the hazards detected, and the simulation program was used to iteratively test the redesigned processes before implementation in real clinical settings.

CONCLUSIONS

We describe an ongoing program that uses in situ simulation to identify and mitigate latent hazards and defects in the hospital emergency response system. The SEIPS model provides a framework for describing and analyzing the structure, processes, and outcomes related to these events.

摘要

引言

心脏骤停是美国的主要死因。尽管有新的治疗方法,但该领域的进展一直缓慢,即使在医院环境中,有医护人员、药物和设备随时可用,治疗结果仍然很差。这部分归因于复苏质量,而复苏质量是心脏骤停患者生存的重要决定因素。现在已知系统问题,如物理空间或设备设计缺陷、医院层面的政策、工作文化以及领导力和团队协作不佳,对所提供的复苏质量有重大影响。

方法

我们描述了一个基于现场模拟的质量改进项目,该项目旨在持续监测心脏骤停应对过程中的危险和缺陷,并发现系统优化的机会。

结果

2010年10月至2013年9月期间,在我们医疗中心的不同地点和一天中的不同时间,共进行了72次模拟的未宣布心脏骤停演练。我们发现了一些环境、人机界面、文化和政策方面的危险和缺陷。我们使用患者安全系统工程倡议(SEIPS)模型来理解与医院应急系统相关的结构、流程和结果。针对检测到的每种危险制定了多学科解决方案,并在实际临床环境中实施之前,使用模拟项目对重新设计的流程进行反复测试。

结论

我们描述了一个正在进行的项目,该项目使用现场模拟来识别和减轻医院应急系统中的潜在危险和缺陷。SEIPS模型提供了一个框架,用于描述和分析与这些事件相关的结构、流程和结果。

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