通过活动理论分析解决救生干预中的团队延迟问题。

Q1 Social Sciences
Katherine Ann Zellner, Aleksandra Sarcevic, Maja Barnouw, Megan A Krentsa, Travis M Sullivan, Mary Suhyun Kim, Randall Burd
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引用次数: 0

摘要

出血,或因受伤而严重失血,是伤后可预防死亡的主要原因。本研究运用并扩展了活动理论来理解创伤复苏过程中基于团队的出血控制动力学,并探索潜在的计算机化机制来支持这一时间和安全关键的过程。我们回顾了25个复苏病例的视频,并使用9个活动理论提示分析了出血控制活动,其中包括一个新的提示语意图——在先前的活动理论分析中,这是一个关键但未被充分探索的团队合作维度。通过这个过程,我们确定了最常见的导致延迟的活动,并为每个活动开发了常规和非常规活动模型。这些模型的比较表明,由于劳动分工、工具、社区和言语意图的变化,常规模型出现了变化。我们通过(1)确定计算机支持的需求和机会来解决复杂医疗团队中的延迟问题,以及(2)检查干预如何改变活动模式,为设计社会技术系统做出了贡献。我们还展示了如何添加详细的语音数据来帮助识别活动模型中元素之间的矛盾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Addressing Teamwork Delays during Life-Saving Interventions through an Activity Theory-Informed Analysis.

Addressing Teamwork Delays during Life-Saving Interventions through an Activity Theory-Informed Analysis.

Addressing Teamwork Delays during Life-Saving Interventions through an Activity Theory-Informed Analysis.

Addressing Teamwork Delays during Life-Saving Interventions through an Activity Theory-Informed Analysis.

Hemorrhage, or severe blood loss due to injury, is a leading cause of preventable deaths after injury. This study uses and extends activity theory to understand the dynamics of team-based hemorrhage control during trauma resuscitation and to explore potential computerized mechanisms to support this time- and safety-critical process. We reviewed videos of 25 resuscitation cases and analyzed hemorrhage control activities using nine activity theory prompts, including a new prompt-speech intention-a critical but underexplored dimension of teamwork in prior activity theory analyses. Through this process, we identified the most common delay-causing activities and developed routine and non-routine activity models for each. A comparison of these models showed that variations from the routine models emerged due to changes in the division of labor, instruments, community, and speech intentions. We contribute to research on designing socio-technical systems by (1) identifying needs and opportunities for computerized support that address delays in complex medical teamwork and (2) examining how an intervention changes an activity model. We also show how adding detailed speech data aids in identifying contradictions between elements in an activity model.

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来源期刊
Proceedings of the ACM on Human-Computer Interaction
Proceedings of the ACM on Human-Computer Interaction Social Sciences-Social Sciences (miscellaneous)
CiteScore
5.90
自引率
0.00%
发文量
257
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