Suppr超能文献

基于虚拟现实的超声引导区域麻醉培训与评估:从错误分析到系统设计

VR-based training and assessment in ultrasound-guided regional anesthesia: from error analysis to system design.

作者信息

Lövquist Erik, O'Sullivan Owen, Oh'Ainle Donnchadh, Baitson Graham, Shorten George, Avis Nick

机构信息

National Digital Research Centre, Ireland.

出版信息

Stud Health Technol Inform. 2011;163:304-10.

Abstract

If VR-based medical training and assessment is to improve patient care and safety (i.e. a genuine health gain), it has to be based on clinically relevant measurement of performance. Metrics on errors are particularly useful for capturing and correcting undesired behaviors before they occur in the operating room. However, translating clinically relevant metrics and errors into meaningful system design is a challenging process. This paper discusses how an existing task and error analysis was translated into the system design of a VR-based training and assessment environment for Ultrasound Guided Regional Anesthesia (UGRA).

摘要

如果基于虚拟现实的医学培训和评估要改善患者护理和安全(即真正的健康收益),就必须基于对操作表现的临床相关测量。错误指标对于在手术室中出现不良行为之前进行捕捉和纠正特别有用。然而,将临床相关指标和错误转化为有意义的系统设计是一个具有挑战性的过程。本文讨论了如何将现有的任务和错误分析转化为基于虚拟现实的超声引导区域麻醉(UGRA)培训和评估环境的系统设计。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验