Pace University, New York, NY, USA.
University of Colorado, Aurora, CO, USA.
AMIA Annu Symp Proc. 2024 Jan 11;2023:804-813. eCollection 2023.
Emergency medical services (EMS) providers often face significant challenges in their work, including collecting, integrating, and making sense of a variety of information. Despite their criticality, EMS work is one of the very few medical domains with limited technical support. To design and implement effective decision support, it is essential to examine and gain a holistic understanding of the fine-grained process of sensemaking in the field. To that end, we reviewed 25 video recordings of EMS simulations to understand the nuances of EMS sensemaking work, including 1) the types of information and situation that are collected and made sense of in the field; 2) the work practices and temporal patterns of EMS sensemaking work; and 3) the challenges in EMS sensemaking and decision-making process. Based on the results, we discuss implications for technology opportunities to support rapid information acquisition and sensemaking in time-critical, high-risk medical settings such as EMS.
紧急医疗服务（EMS）提供者在工作中经常面临重大挑战，包括收集、整合和理解各种信息。尽管至关重要，但 EMS 工作是极少数医疗领域中技术支持有限的领域之一。为了设计和实施有效的决策支持，必须检查并全面了解现场的细微感知过程。为此，我们审查了 25 个 EMS 模拟视频记录，以了解 EMS 感知工作的细微差别，包括：1）在现场收集和理解的信息和情况类型；2）EMS 感知工作的工作实践和时间模式；3）EMS 感知和决策过程中的挑战。基于这些结果，我们讨论了在 EMS 等时间紧迫、高风险医疗环境中支持快速信息获取和感知的技术机会的意义。
