TRUSTS Technology Integration Inventory: Assessing the Impact of a New Technology on Work System Resilience

E. Patterson, K. Neville, Stephen L. Dorton, Emily Barrett, Theresa Fersch, Andrew Langone, Bianica Pires, Kristine Rosfjord
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Abstract

We present the Transform with Resilience during Upgrades to Socio-Technical Systems (TRUSTS) Framework, which specifies sources of work system resilience. A work system is defined as elements, including technology, people, policies, protocols, and procedures, that cooperatively function to achieve shared goals. By describing sources of work system resilience, the framework can help a work system’s stakeholders preserve its resilience. This is especially important for high-consequence work systems; these are work systems involved in healthcare, military operations, and national airspace management, as examples. In these work systems, responsivity and adaptivity, i.e., resilience, are requisites to achieving missions and goals in the face of outages and other unexpected events, high demands, and nonroutine conditions. In event-driven environments, system resilience is also required to respond to routine variety produced by uncontrollable aspects of the work, such as treatment responses, weather, and adversary behaviors. The TRUSTS framework is derived from foundational literature in complex systems science and resilience engineering. We build upon prior research in resilience engineering. In that body of work, work system resilience has been defined by Erik Hollnagel and colleagues as based on four cornerstones: anticipating, monitoring, responding, and learning. Its fundamental principles have been described in David Woods’ Theory Graceful Extensibility and writings on complex systems’ adaptive capacity. These cornerstones and principles have typically been described as high-level system capabilities that are illustrated by examples. With TRUSTS, we identify detailed system characteristics and capabilities that afford those high-level cornerstones. The framework is organized into five inter-related factors (a.k.a. the “Big Five” factors) that allow a high-consequence work system and its operations to be responsive and adaptive in the face of challenges. Each of the “Big Five” consists of three to four sub-factors, and each sub-factor consists of two or more resilience requirements. The framework and our associated efforts to operationalize work system resilience are heavily informed by targeted analysis of case studies of new technologies introduced into high-consequence work operations, including healthcare work operations, and interviews with military planning and command and control experts. Currently, we are endeavoring to integrate the TRUSTS Framework into the development of new technologies for health care and other high-consequence work systems. Increasingly, technologies are designed to participate in core work system activities, such as assessment, decision making, planning, and resource brokering and allocation. In these roles, they become integral to the work of other system elements—both technological and human—and the work system as a whole; i.e., they are a part of that work system. When technologies have core roles such as these, they have greater potential to inadvertently interfere with one or more of the means used by the work system to be adaptive and resilient to changing demands and conditions. They also have greater potential to positively contribute to the work system’s resilience. Our goal is to help developers attend to the ways their new technology will impact the work system’s ability to be adaptive and resilient. We present ongoing work to integrate TRUSTS Framework resilience sources into technology development, including newly developed methods and tools that together enable a TRUSTS Resilience-Aware Development (RAD) approach to technology development. The goal of RAD is to help ensure new technologies are designed to contribute to and not unintentionally compromise work system resilience. It ensures technology development benefits both work system efficiency and resilience in the balanced way that is necessary for long-term work system and mission success. Together, the TRUSTS framework and RAD approach and tools can be used to ensure that, as our healthcare work systems become more complex and technology-driven, they maintain the ability to provide responsive patient care and safety that is adaptive to conditions.
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信托技术集成清单:评估新技术对工作系统弹性的影响
我们提出了在升级到社会技术系统(信托)框架期间的弹性转换,该框架指定了工作系统弹性的来源。工作系统被定义为元素,包括技术、人员、政策、协议和程序,这些元素协同工作以实现共同的目标。通过描述工作系统弹性的来源,框架可以帮助工作系统的涉众保持其弹性。这对于高后果的工作系统尤其重要;例如,这些工作系统涉及医疗保健、军事行动和国家空域管理。在这些工作系统中,响应性和适应性,即弹性,是在面对中断和其他意外事件、高要求和非常规条件时实现任务和目标的必要条件。在事件驱动的环境中,还需要系统弹性来响应由工作的不可控方面(如治疗响应、天气和对手行为)产生的常规变化。信托框架来源于复杂系统科学和弹性工程的基础文献。我们建立在先前的弹性工程研究的基础上。在该工作主体中,Erik Hollnagel及其同事将工作系统弹性定义为基于四个基石:预测、监控、响应和学习。它的基本原理已经在David Woods的理论优美可扩展性和复杂系统的自适应能力的著作中描述。这些基石和原则通常被描述为通过示例说明的高级系统功能。通过信任,我们确定了提供这些高级基础的详细系统特征和功能。该框架被组织成五个相互关联的因素(又称“五大”因素),这些因素允许一个高后果的工作系统及其运作在面对挑战时做出反应和适应。“五大”中的每一个都由三到四个子因素组成,每个子因素由两个或更多的弹性需求组成。通过对引入高后果工作操作(包括医疗工作操作)的新技术的案例研究进行有针对性的分析,以及对军事规划、指挥和控制专家的采访,我们在实施工作系统弹性方面的框架和相关努力得到了大量信息。目前,我们正在努力将信托框架纳入医疗保健和其他重要工作系统新技术的开发中。越来越多的技术被设计为参与核心工作系统活动,例如评估、决策制定、计划,以及资源中介和分配。在这些角色中,他们成为其他系统要素(包括技术和人)以及整个工作系统的组成部分;也就是说,他们是工作系统的一部分。当技术具有诸如此类的核心作用时,它们更有可能无意中干扰工作系统所使用的一种或多种适应和适应不断变化的需求和条件的手段。他们也有更大的潜力为工作系统的弹性做出积极贡献。我们的目标是帮助开发人员关注他们的新技术将影响工作系统的适应性和弹性的方式。我们介绍了将信托框架弹性来源集成到技术开发中的持续工作,包括新开发的方法和工具,这些方法和工具共同实现了信托弹性感知开发(RAD)技术开发方法。RAD的目标是帮助确保新技术的设计有助于工作系统的弹性,而不是无意中损害工作系统的弹性。它确保技术开发以平衡的方式使工作系统效率和弹性受益,这是长期工作系统和任务成功所必需的。随着我们的医疗保健工作系统变得更加复杂和技术驱动,可以使用信托框架和RAD方法和工具来确保它们保持提供响应性患者护理和适应条件的安全性的能力。
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CHARACTERIZING PHYSICAL STRAIN IN NON-ROUTINIZED CLINICAL WORK THROUGH OBSERVATION: AN EXAMPLE OF ORAL HEALTHCARE PROVIDERS. Toward Joint Activity Design: Augmenting User-Centered Design with Heuristics for Supporting Joint Activity. Cracking The Code: Redesigning EHR Interfaces to Clarify Patients’ End of Life Wishes for Code Situations Considering Team Dynamics during Human Factors Work in Healthcare Preventing Hospital-Acquired Venous Thrombosis Embolism in Medical Patients Admitted to Acute Care Hospitals
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