[人工智能系统在急诊室的应用:沟通模式是否为可能的起点提供指示? 一个观察性研究]
Thorsten Tjardes1,2, Lea Mareen Meyer3, Anna Lotz4
1Klinik für Unfallchirurgie, Orthopädie und Sporttraumatologie Köln Merheim, Lehrstuhl für Unfallchirurgie und Orthopädie der Universität Witten/Herdecke, Kliniken der Stadt Köln gGmbH, Köln, Deutschland. ttjardes@me.com.
Unfallchirurgie (Heidelberg, Germany)
|June 5, 2023
概括
创伤复苏中的信息缺口表明人工智能 (AI) 可以帮助. 人工智能决策支持系统可以减少认知过载,改善沟通,以获得更好的患者护理.
科学领域:
- 紧急医疗 紧急医疗
- 人工智能的人工智能
- 创伤护理 创伤护理
背景情况:
- 人工智能 (AI) 对创伤复苏的决策支持具有前景.
- 目前的数据缺乏人工智能干预在复苏室的起点.
研究的目的:
- 调查是否信息请求行为和急诊室的通信质量表明潜在的AI应用起点.
- 评估创伤复苏期间信息交换的现状.
主要方法:
- 进行了一项两阶段的定性观察性研究.
- 根据专家采访,开发了一个观察表,涵盖情境因素,重要参数,治疗信息,创伤特征,药物和患者背景.
- 分析了40次连续的急诊室观察,以了解信息交换的完整性.
主要成果:
- 总共有130个问题被记录在40个观察中.
- 信息查询主要集中在药物/治疗 (57/130),损伤参数 (31/130) 和医疗/人口背景 (42/130) 上.
- 在所有六个观察到的学科领域中都发现了不完整的信息交换.
结论:
- 观察到的询问模式和沟通缺陷表明复苏团队的认知过载.
- 人工智能辅助系统可以减轻认知过载,保持决策和沟通能力.
- 需要进一步的研究来确定适合于此背景的AI方法.
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