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在医学教育中运用虚拟现实矩阵

Utilizing a Virtual Reality Matrix in Medical Education.

作者信息

Mistry Dipal, Geevarughese Sarah, Brock Callaham A, Nelson Jacob, Drew Danielle, Goddard Chris M, West Ryan T, Kleiman Kyle, Lindsey Tom

机构信息

Clinical, Biomedical, and Educational Research, Edward Via College of Osteopathic Medicine, Spartanburg, USA.

College of Medicine, Edward Via College of Osteopathic Medicine, Spartanburg, USA.

出版信息

Cureus. 2024 Aug 8;16(8):e66446. doi: 10.7759/cureus.66446. eCollection 2024 Aug.

Abstract

Virtual reality (VR) is an emerging technology that has demonstrated incredible value within medical education. However, medical institutions adopting VR as a learning tool need to ensure that the immersive technology product they pick possesses standard usability criteria. The current literature is limited in defining what specific criteria institutions should look for, or how to select between various VR products. Since there have been little to no algorithms available to the medical education community to aid in this process, a reproducible matrix has been developed to evaluate multiple VR platforms at once which can help identify the best option for medical education programs. The matrix is a 10-point scoring system that includes what the research team considered to be the 10 most important factors when selecting a VR product for medical education. The scores of any two or more VR products can be quantitatively compared. Therefore, the matrix is to be used as a methodological framework to help objectively select the highest-rated immersive technology platform. The research team involved in the development of the matrix consisted of an associate dean for simulation and technology, a director of simulation and technology, and eight medical students.

摘要

虚拟现实(VR)是一项新兴技术,已在医学教育领域展现出巨大价值。然而,采用VR作为学习工具的医疗机构需要确保其所选用的沉浸式技术产品具备标准的可用性标准。目前的文献在定义机构应寻找哪些具体标准,或如何在各种VR产品之间进行选择方面存在局限性。由于几乎没有可供医学教育界使用的算法来辅助这一过程,因此开发了一种可重复的矩阵,以便一次性评估多个VR平台,这有助于为医学教育项目确定最佳选择。该矩阵是一个10分制评分系统,其中包括研究团队在为医学教育选择VR产品时认为最重要的10个因素。任何两个或更多VR产品的得分都可以进行定量比较。因此,该矩阵将用作一种方法框架,以帮助客观地选择评分最高的沉浸式技术平台。参与该矩阵开发的研究团队由一名模拟与技术副院长、一名模拟与技术主任以及八名医学生组成。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe7/11311931/78daa573006d/cureus-0016-00000066446-i01.jpg

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