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阐明心脏骤停团队领导者的认知过程:一项基于虚拟现实的专家和新手线索回忆研究。

Elucidating cognitive processes in cardiac arrest team leaders: a virtual reality-based cued-recall study of experts and novices.

作者信息

Popov Vitaliy, Harmer Bryan, Raphael Sophie, Scott Isabella, Sample Alanson P, Cooke James M, Cole Michael

机构信息

Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.

School of Information, University of Michigan, Ann Arbor, MI, USA.

出版信息

Ann Med. 2025 Dec;57(1):2470976. doi: 10.1080/07853890.2025.2470976. Epub 2025 Mar 3.

Abstract

BACKGROUND

Team leadership during medical emergencies like cardiac arrest resuscitation is cognitively demanding, especially for trainees. These cognitive processes remain poorly characterized due to measurement challenges. Using virtual reality simulation, this study aimed to elucidate and compare communication and cognitive processes-such as decision-making, cognitive load, perceived pitfalls, and strategies-between expert and novice code team leaders to inform strategies for accelerating proficiency development.

METHODS

A simulation-based mixed methods approach was utilized within a single large academic medical center, involving twelve standardized virtual reality cardiac arrest simulations. These 10- to 15-minutes simulation sessions were performed by seven experts and five novices. Following the simulations, a cognitive task analysis was conducted using a cued-recall protocol to identify the challenges, decision-making processes, and cognitive load experienced across the seven stages of each simulation.

RESULTS

The analysis revealed 250 unique cognitive processes. In terms of reasoning patterns, experts used inductive reasoning, while novices tended to use deductive reasoning, considering treatments before assessments. Experts also demonstrated earlier consideration of potential reversible causes of cardiac arrest. Regarding team communication, experts reported more critical communications, with no shared subthemes between groups. Experts identified more teamwork pitfalls, and suggested more strategies compared to novices. For cognitive load, experts reported lower median cognitive load (53) compared to novices (80) across all stages, with the exception of the initial presentation phase.

CONCLUSIONS

The identified patterns of expert performance - superior teamwork skills, inductive clinical reasoning, and distributed cognitive strategiesn - can inform training programs aimed at accelerating expertise development.

摘要

背景

在心脏骤停复苏等医疗紧急情况中,团队领导需要较高的认知能力,尤其是对于实习生而言。由于测量方面的挑战,这些认知过程的特征仍不太明确。本研究利用虚拟现实模拟,旨在阐明并比较专家和新手急救团队领导者之间的沟通和认知过程,如决策、认知负荷、感知到的陷阱和策略,以为加速能力发展的策略提供参考。

方法

在一个大型学术医疗中心内采用基于模拟的混合方法,包括12次标准化的虚拟现实心脏骤停模拟。这些10到15分钟的模拟由7名专家和5名新手进行。模拟结束后,使用线索回忆协议进行认知任务分析,以确定每个模拟的七个阶段中所经历的挑战、决策过程和认知负荷。

结果

分析揭示了250个独特的认知过程。在推理模式方面,专家使用归纳推理,而新手倾向于使用演绎推理,在评估之前先考虑治疗方法。专家还更早地考虑了心脏骤停的潜在可逆原因。在团队沟通方面,专家报告的关键沟通更多,两组之间没有共同的子主题。专家识别出更多的团队合作陷阱,并且与新手相比提出了更多的策略。对于认知负荷,除了初始呈现阶段外,专家在所有阶段报告的中位数认知负荷(53)低于新手(80)。

结论

所确定的专家表现模式——卓越的团队合作技能、归纳临床推理和分布式认知策略——可为旨在加速专业能力发展的培训项目提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb7c/11878170/977ebe9a9e7b/IANN_A_2470976_F0001_C.jpg

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