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用于分析和描述关节止血带技术的建模框架。

Modeling Framework Used to Analyze and Describe Junctional Tourniquet Skills.

作者信息

Bauchwitz Benjamin R, Curley Taylor, Kwan Calvin, Niehaus James M, Pugh Carla M, Weyhrauch Peter W

机构信息

Charles River Analytics, 625 Mount Auburn Street, Cambridge, MA.

Georgia Institute of Technology, North Ave NW, Atlanta, GA.

出版信息

Mil Med. 2019 Mar 1;184(Suppl 1):347-360. doi: 10.1093/milmed/usy348.

Abstract

Medical educators have acknowledged the importance of simulation training in developing procedural skills. While simulation training in other disciplines has benefitted from evaluations of users' skill acquisition, the majority of medical training simulators continue to be developed from overly simplified descriptions of procedures, such as techniques prescribed by existing instructional material. Our objective was to use a modeling framework to characterize the skill of various users in applying junctional tourniquets in order to design an effective training simulator. We recorded 46 medical first responders performing training exercises applying a junctional tourniquet and used coded video and sensor data to identify the hierarchy of actions they performed in the process. The model provides several insights into trainee performance, such as the way in which advanced users perform more tasks in parallel, or areas where advanced users employ situational awareness to identify ways they can deviate from recommended protocol to improve outcomes. The model successfully identifies variations in tourniquet application technique that correlates with improvement on clinically relevant metrics including application speed, pressure applied, and tourniquet placement stability. This methodology can improve medical training simulations by indicating changes during the course of learning a new task, such as helpful deviations from instructional protocol.

摘要

医学教育工作者已经认识到模拟训练在培养操作技能方面的重要性。虽然其他学科的模拟训练受益于对用户技能获取的评估,但大多数医学训练模拟器仍然是根据对操作过程过于简化的描述来开发的,比如现有教学材料中规定的技术。我们的目标是使用一个建模框架来描述不同用户应用关节止血带的技能,以便设计一个有效的训练模拟器。我们记录了46名医疗急救人员进行应用关节止血带的训练练习,并使用编码视频和传感器数据来识别他们在这个过程中执行的动作层次。该模型为学员的表现提供了一些见解,比如高级用户并行执行更多任务的方式,或者高级用户运用态势感知来识别他们可以偏离推荐方案以改善结果的领域。该模型成功识别出止血带应用技术的差异,这些差异与临床相关指标的改善相关,包括应用速度、施加的压力和止血带放置的稳定性。这种方法可以通过指出学习新任务过程中的变化,比如有益地偏离教学方案,来改进医学训练模拟。

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