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Knowledge Elicitation to Understand Resilience: A Method and Findings From a Health Care Case Study

机译:知识启发以了解抵御力:卫生保健案例研究的方法和发现

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Resilience engineering (RE) has ushered new approaches to learning about work in complex sociotechnical systems. In terms of improving safety, RE marks a shift from the traditional approach of retrospectively investigating adverse events, toward learning proactively about patterns in everyday work, including how things go well. This study applied the RE framework to the health care domain, by developing and implementing a new knowledge-elicitation protocol to learn about how frontline care providers achieve safe and effective patient care in their everyday work. Eighteen participants, including physicians, nurses, residents, and clinical leaders from a range of specialties, were interviewed using the new protocol. Qualitative analysis of the data revealed multiple themes and patterns which underlie resilient functioning of individuals, teams, and the organization as a whole. Further, a Resilience Mapping Framework (RMF) was developed based on major thematic categories to systematically represent and map various resilient capabilities-monitoring, anticipating, responding, and learning-across different levels of system scale, from the individual to the organizational. This study demonstrates new methods to identify and represent resilience not just during salient and critical "events," but across the continuum of situations, from the everyday "normal" functioning to the critical.
机译:弹性工程(RE)引入了新的方法来学习复杂的社会技术系统中的工作。在提高安全性方面,可再生能源标志着从回顾性研究不良事件的传统方法转变为主动学习日常工作模式,包括情况如何。这项研究通过开发和实施新的知识获取协议,将可再生能源框架应用于医疗保健领域,以了解一线医疗服务提供者如何在日常工作中实现安全有效的患者护理。使用新方案采访了18名参与者,包括来自各个专业的医师,护士,住院医师和临床负责人。对数据的定性分析揭示了多个主题和模式,这些主题和模式是个人,团队和整个组织的弹性运作的基础。此外,基于主要主题类别开发了弹性映射框架(RMF),以系统地表示和映射从个人到组织的不同级别的系统规模的各种弹性能力,包括监视,预期,响应和学习。这项研究表明,不仅在突出和关键的“事件”期间,而且在从日常“正常”功能到关键的整个连续情况下,都可以识别和表示弹性的新方法。

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