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3
Integrated eye tracking on Magic Leap One during augmented reality medical simulation: a technical report.在增强现实医学模拟中Magic Leap One上的集成眼动追踪:技术报告
BMJ Simul Technol Enhanc Learn. 2021 Feb 24;7(5):431-434. doi: 10.1136/bmjstel-2020-000782. eCollection 2021.
4
General-purpose thematic analysis: a useful qualitative method for anaesthesia research.通用主题分析:一种用于麻醉研究的有用定性方法。
BJA Educ. 2021 Dec;21(12):472-478. doi: 10.1016/j.bjae.2021.07.006. Epub 2021 Sep 23.
5
The Present and Future Applications of Technology in Adapting Medical Education Amidst the COVID-19 Pandemic.新冠疫情期间技术在医学教育适应中的当前及未来应用
JMIR Med Educ. 2020 Jul 17;6(2):e20190. doi: 10.2196/20190.
6
Augmented reality in medical education: a systematic review.医学教育中的增强现实:一项系统综述。
Can Med Educ J. 2020 Mar 16;11(1):e81-e96. doi: 10.36834/cmej.61705. eCollection 2020 Mar.
7
Joint Attention in a Laparoscopic Simulation-Based Training: A Pilot Study on Camera Work, Gaze Behavior, and Surgical Performance in Laparoscopic Surgery.基于腹腔镜模拟训练中的联合注意力:一项关于腹腔镜手术中镜头操作、注视行为和手术表现的初步研究
J Laparoendosc Adv Surg Tech A. 2020 May;30(5):564-568. doi: 10.1089/lap.2019.0736. Epub 2020 Mar 24.
8
Can Eye Tracking be Used to Predict Performance Improvements in Simulated Medical Training? A Case Study in Central Venous Catheterization.眼动追踪能否用于预测模拟医学训练中的表现提升?以中心静脉置管为例的案例研究。
Proc Int Symp Hum Factors Ergon Healthc. 2019 Sep;8(1):110-114. doi: 10.1177/2327857919081025. Epub 2019 Sep 15.
9
An observational study using eye tracking to assess resident and senior anesthetists' situation awareness and visual perception in postpartum hemorrhage high fidelity simulation.一项使用眼动追踪评估住院医师和资深麻醉师在产后出血高保真模拟中情境意识和视觉感知的观察性研究。
PLoS One. 2019 Aug 29;14(8):e0221515. doi: 10.1371/journal.pone.0221515. eCollection 2019.
10
The REDCap consortium: Building an international community of software platform partners.REDCap 联盟:构建软件平台合作伙伴的国际社区。
J Biomed Inform. 2019 Jul;95:103208. doi: 10.1016/j.jbi.2019.103208. Epub 2019 May 9.

心脏麻醉学培训中增强现实模拟的参与者认知:一项前瞻性混合方法研究

Participant Perceptions of Augmented Reality Simulation for Cardiac Anesthesiology Training: A Prospective, Mixed-Methods Study.

作者信息

Tsai Albert, Bodmer Natalie, Hong Tracey, Frackman Anna, Hess Olivia, Khoury Michael, Jackson Christian, Caruso Thomas J

机构信息

The following authors are in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University School of Medicine, Palo Alto, CA: , and are Clinical Assistant Professors; is an Anesthesiology Resident; is a Research Assistant; is a Clinical Professor. is a Medical Student at Stanford University School of Medicine, Palo Alto, CA. is a Data Analyst in the Department of Epidemiology and Population Health at Stanford University, Stanford, CA.

出版信息

J Educ Perioper Med. 2023 Jul 1;25(3):E712. doi: 10.46374/volxxv_issue3_Tsai. eCollection 2023 Jul-Sep.

DOI:10.46374/volxxv_issue3_Tsai
PMID:37720369
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10502607/
Abstract

BACKGROUND

Simulations are a critical component of anesthesia education, and ways to broaden their delivery and accessibility should be studied. The primary aim was to characterize anesthesiology resident, fellow, and faculty experience with augmented reality (AR) simulations. The secondary aim was to explore the feasibility of quantifying performance using integrated eye-tracking technology.

METHODS

This was a prospective, mixed-methods study using qualitative thematic analysis of user feedback and quantitative analysis of gaze patterns. The study was conducted at a large academic medical center in Northern California. Participants included 7 anesthesiology residents, 6 cardiac anesthesiology fellows, and 5 cardiac anesthesiology attendings. Each subject participated in an AR simulation involving resuscitation of a patient with pericardial tamponade. Postsimulation interviews elicited user feedback, and eye-tracking data were analyzed for gaze duration and latency.

RESULTS

Thematic analysis revealed 5 domains of user experience: global assessment, spectrum of immersion, comparative assessment, operational potential, and human-technology interface. Participants reported a positive learning experience and cited AR technology's portability, flexibility, and cost-efficiency as qualities that may expand access to simulation training. Exploratory analyses of gaze patterns suggested that trainees had increased gaze duration of vital signs and gaze latency of malignant arrythmias compared with attendings. Limitations of the study include lack of a control group and underpowered statistical analyses of gaze data.

CONCLUSIONS

This study suggests positive user perception of AR as a novel modality for medical simulation training. AR technology may increase exposure to simulation education and offer eye-tracking analyses of learner performance.

摘要

背景

模拟是麻醉学教育的关键组成部分,应研究拓宽其提供方式和可及性的方法。主要目的是描述麻醉学住院医师、专科住院医师和教员在增强现实(AR)模拟方面的体验。次要目的是探讨使用集成眼动追踪技术量化表现的可行性。

方法

这是一项前瞻性的混合方法研究,采用用户反馈的定性主题分析和注视模式的定量分析。该研究在北加利福尼亚州的一家大型学术医疗中心进行。参与者包括7名麻醉学住院医师、6名心脏麻醉专科住院医师和5名心脏麻醉主治医生。每位受试者都参与了一次AR模拟,内容是对一名心包填塞患者进行复苏。模拟后访谈收集用户反馈,并分析眼动追踪数据的注视持续时间和延迟。

结果

主题分析揭示了用户体验的5个领域:整体评估、沉浸程度范围、比较评估、操作潜力和人机技术界面。参与者报告了积极的学习体验,并指出AR技术的便携性、灵活性和成本效益是可能扩大模拟训练可及性的特质。对注视模式的探索性分析表明,与主治医生相比,受训人员对生命体征的注视持续时间增加,对恶性心律失常的注视延迟增加。该研究的局限性包括缺乏对照组以及对注视数据的统计分析效能不足。

结论

本研究表明用户对AR作为医学模拟训练的一种新方式有积极的看法。AR技术可能会增加模拟教育的接触机会,并提供对学习者表现的眼动追踪分析。