Slater David
Cardiff University School of Engineering, United Kingdom.
Saf Sci. 2022 Feb;146:105526. doi: 10.1016/j.ssci.2021.105526. Epub 2021 Oct 5.
Modelling complex sociotechnical systems to try to understand how observed behaviours emerge from a network of interacting, interdependent and interrelated functions is a major challenge. Woods et al (Branlat, 2010), have pointed out that it is difficult to find a satisfactory current methodology. They suggested that perhaps the Functional Resonance Analysis Methodology developed by Hollnagel (Hollnagel, 2012) could be an appropriate approach to try. In Part 1 this approach was employed to build an overall model of the UK's COVID 19 response management system, which was constructed as a framework against which, a series of more detailed analyses of specific health care responses could be examined. This meant being conscious of the bigger picture of simultaneous activities and the dynamic emergence of unexpected developments. At that stage, it was of necessity a model of "work as imagined" from careful official and speculative media sources. Although, a full rigorous application will require a more authenticated, official (peer reviewed?), set of data, reports and evidence statements, which doubtless will be available eventually from the inevitable Public Inquiry, it seems a pity to delay gaining and applying any insights and adaptations from "work as (actually) done", that have been observed to date. The recent select committee evidence from people at the heart of the system, (Committee, 2021), which may, or may not be corroborated later, nevertheless now provides a provisional database, which can be utilised to test whether the FRAM model can produce such insights from the actual performance of this highly complex system. This paper has thus attempted a trial run and has found that it can produce a plausible set of insights, which can explain how the system behaved in practice. With such a serious challenge to Government systems worldwide, in all their advisory, operation and decision-making functions, such insights although provisional, could usefully be incorporated and formalised in the current systems rather than waiting for inquiry endorsed recommendations to be formally considered perhaps some years into the future. The paper thus sets out a set of conclusions and recommendations, caveated by emphasising the lack of fully authenticated public domain data on which it is based. The main conclusion however is that the current system appears not to have included any of the functions which could have provided the adaptability and resilience required by fast moving emergencies, such as pandemics. The exception noted was the establishment of a parallel, independent vaccine development and delivery function and it is hoped that at least this lesson from the work as done could be recognised as providing the type of adaptability required and incorporated without delay.
对复杂的社会技术系统进行建模,以试图理解观察到的行为是如何从一个由相互作用、相互依存和相互关联的功能组成的网络中产生的,这是一项重大挑战。伍兹等人(布兰拉特,2010年)指出,目前很难找到一种令人满意的方法。他们建议,也许霍尔纳格尔(霍尔纳格尔,2012年)开发的功能共振分析方法可能是一种值得尝试的合适方法。在第一部分中,采用这种方法构建了英国新冠疫情应对管理系统的整体模型,该模型被构建为一个框架,据此可以对一系列更详细的特定医疗应对措施进行分析。这意味着要意识到同步活动的整体情况以及意外发展的动态出现。在那个阶段,它必然是一个基于官方谨慎信息和推测性媒体来源的“设想中的工作”模型。尽管全面严格的应用将需要一套更具权威性、官方(经过同行评审?)的数据、报告和证据陈述,而这些无疑最终会从不可避免的公开调查中获得,但推迟从“实际开展的工作”中获取并应用任何见解和调整似乎很可惜,到目前为止已经观察到了这些“实际开展的工作”。最近特别委员会从系统核心人员那里获得的证据(委员会,2021年),其可能会或可能不会在以后得到证实,但现在提供了一个临时数据库,可用于测试FRAM模型是否能从这个高度复杂系统的实际表现中得出此类见解。因此,本文进行了一次试运行,发现它可以得出一组看似合理的见解,能够解释该系统在实践中的表现。鉴于全球政府系统在其所有咨询、运作和决策功能方面都面临如此严峻的挑战,这些见解尽管是临时的,但可以有益地纳入并在当前系统中正式化,而不是等待调查认可的建议可能在几年后才得到正式考虑。因此,本文列出了一系列结论和建议,并强调其基于缺乏充分认证的公共领域数据这一情况。然而,主要结论是,当前系统似乎没有包含任何能够提供应对快速变化的紧急情况(如大流行病)所需的适应性和复原力的功能。唯一注意到的例外是设立了一个并行的、独立的疫苗研发和交付功能,希望至少能认识到从已开展的工作中吸取的这一教训,即提供所需的适应性类型并立即予以纳入。