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通过基于活动理论的分析解决救生干预期间的团队协作延迟问题。

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

作者信息

Zellner Katherine Ann, Sarcevic Aleksandra, Barnouw Maja, Krentsa Megan A, Sullivan Travis M, Kim Mary Suhyun, Burd Randall

机构信息

Drexel University, USA.

Children's National Hospital, USA.

出版信息

Proc ACM Hum Comput Interact. 2025 Jan;9(1). doi: 10.1145/3701195. Epub 2025 Jan 10.

Abstract

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.

摘要

出血,即因受伤导致的严重失血,是受伤后可预防死亡的主要原因。本研究运用并拓展了活动理论,以理解创伤复苏期间基于团队的出血控制动态,并探索支持这一关乎时间和安全的关键过程的潜在计算机化机制。我们回顾了25例复苏病例的视频,并使用九条活动理论提示语分析出血控制活动,其中包括一条新的提示语——言语意图,这是先前活动理论分析中团队合作的一个关键但未充分探索的维度。通过这一过程,我们确定了最常见的导致延误的活动,并为每种活动开发了常规和非常规活动模型。对这些模型的比较表明,由于分工、器械、群体和言语意图的变化,出现了与常规模型的差异。我们通过以下方式为社会技术系统设计研究做出贡献:(1)识别计算机化支持的需求和机会,以解决复杂医疗团队合作中的延误问题;(2)研究干预如何改变活动模型。我们还展示了添加详细的言语数据如何有助于识别活动模型中各要素之间的矛盾。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d554/12380369/300290779bbb/nihms-2092455-f0001.jpg

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