Data Work and Decision Making in Emergency Medical Services: A Distributed Cognition Perspective

Data Work and Decision Making in Emergency Medical Services: A Distributed Cognition Perspective
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紧急医疗服务中的数据工作和决策:分布式认知视角

DOI:
10.1145/3479500
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发表时间:
2021
影响因子:
--
通讯作者:
Adelgais, Kathleen
Adelgais, Kathleen
中科院分区:
--
文献类型:
--
作者:
Zhang, Zhan;Joy, Karen;Upadhyayula, Pradeepti;Ozkaynak, Mustafa;Harris, Richard;Adelgais, Kathleen

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紧急医疗服务 (EMS) 团队是第一响应者,为现场的重病或受伤患者提供紧急医疗护理。尽管 EMS 工作很重要,但它是极少数技术支持有限的医疗领域之一。本文介绍了一项研究,旨在检验支持 EMS 数据工作和决策的技术机会。我们转录并分析了 25 个模拟视频。使用分布式认知框架,我们检查了 EMS 团队支持信息获取和共享的工作实践。我们的结果表明,EMS 团队利用各种机制(例如口头交流和外部认知辅助)来分配管理、收集和使用患者数据的认知劳动。然而,我们观察到EMS数据工作中存在一系列突出的挑战,包括缺乏实时详细的文档、情景回忆问题、态势感知问题以及决策和沟通方面的挑战。根据结果​​,我们讨论了在时间紧迫、高风险的医疗环境中支持快速信息获取、集成和共享的技术机会的影响。
Emergency medical services (EMS) teams are first responders providing urgent medical care to severely ill or injured patients in the field. Despite their criticality, EMS work is one of the very few medical domains with limited technical support. This paper describes a study conducted to examine technology opportunities for supporting EMS data work and decision-making. We transcribed and analyzed 25 simulation videos. Using the distributed cognition framework, we examined EMS teams' work practices that support information acquisition and sharing. Our results showed that EMS teams leveraged various mechanisms (e.g., verbal communication and external cognitive aids) to distribute cognitive labor in managing, collecting, and using patient data. However, we observed a set of prominent challenges in EMS data work, including lack of detailed documentation in real time, situation recall issues, situation awareness problems, and challenges in decision making and communication. Based on the results, we discuss implications for technology opportunities to support rapid information acquisition, integration, and sharing in time-critical, high-risk medical settings.
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