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More and Less Effective Updating: The Role of Trajectory Management in Making Sense Again

机译:或多或少有效的更新:轨迹管理在重新理解中的作用

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This study examines how updating-the process of revising provisional sensemaking to incorporate new cues-occurs within teams during unexpected events. I compare how 19 teams of emergency department staff managed the same unexpected event (a broken piece of equipment) in a medical simulation scenario. Using a microethnographic approach to analyze video recordings of these teams, I conduct a fine-grained examination of how updating takes place and find considerable variation in its effectiveness across teams. I show that the effectiveness of updating depends not only on how teams remake sense but also on how they engage in trajectory management, balancing the work of updating with their ongoing work (in this case, patient care). Trajectory management practices related to monitoring cues and managing engaging tasks facilitated effective updating and allowed teams to detect and identify the problem caused by the broken piece of equipment and correct it before it led to serious consequences. More-effective teams monitor and rapidly interpret cues, confirming them with others and evaluating changes over time; they then investigate cues, develop plausible explanations, and quickly test them, monitoring cues for feedback. Less-effective teams fail to monitor and confirm cues with others, overlook or misinterpret cues, and delay investigating cues and developing plausible explanations; they also delay testing explanations, often being sidetracked by patient care tasks.
机译:这项研究探讨了在意外事件发生时团队内部如何进行更新(即修改临时意义的制定过程,以纳入新的线索)的过程。我比较了19个急诊部门团队在医学模拟场景中如何处理相同的意外事件(设备损坏)。我使用微观人种学方法分析了这些团队的录像,我对更新的发生方式进行了细粒度的检查,发现各个团队在更新方面的有效性存在很大差异。我表明,更新的有效性不仅取决于团队如何重新理解,还取决于他们如何进行轨迹管理,从而使更新工作与正在进行的工作(在这种情况下为患者护理)保持平衡。与监视线索和管理参与任务有关的轨迹管理实践有助于有效地进行更新,并使团队能够检测和识别由设备损坏引起的问题,并在导致严重后果之前进行纠正。效率更高的团队监视并快速解释线索,与他人确认线索并评估随时间变化的情况;然后,他们调查线索,提出合理的解释,并迅速对其进行测试,监控线索以获取反馈。效率低下的团队无法与其他人一起监视和确认线索,忽略或误解了线索,并且拖延了调查线索并提出了合理的解释;他们还会延迟测试的解释,通常会被患者护理任务所忽略。

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