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模拟环境的数字化——低资源环境下模拟的新解决方案。

Digitalisation of the simulation landscape - Novel solutions for simulation in low-resource settings.

作者信息

Elanjeran Rajkumar, Ramkumar Anitha, Mahmood Lulu Sherif

机构信息

Simulation and Skills Advancement for Education and Research (SAFE) Centre, Aarupadai Veedu Medical College and Hospital, Vinayaka Mission Research Foundation (DU), Puducherry, India.

Department of Emergency Medicine and Adjunct Faculty of Skills Lab, Aarupadai Veedu Medical College and Hospital, Vinayaka Mission Research Foundation (DU), Puducherry, India.

出版信息

Indian J Anaesth. 2024 Jan;68(1):71-77. doi: 10.4103/ija.ija_1246_23. Epub 2024 Jan 18.

DOI:10.4103/ija.ija_1246_23
PMID:38406337
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10893818/
Abstract

Simulation-based training is an acceptable method in medical sciences. The available simulators and the conduct of simulation require both simulators and infrastructural requirements. This narrative review highlights the potential of digital tools for team-based simulation exercises in low-resource settings. This review presents a comprehensive list of affordable digital tools for scenario planning, scenario design, and assessment. It covers various applications and platforms, providing detailed insights into their features, types, and accessibility. Different low-cost digital tools are available, from generative artificial intelligence for scenario planning to online repositories of simulation cases, browser-based assessment designers, and simulation games. These digital tools can make simulation accessible, transforming it into an immersive learning experience to enhance understanding and skill acquisition.

摘要

基于模拟的培训在医学领域是一种可接受的方法。现有的模拟器以及模拟的实施需要模拟器和基础设施要求。这篇叙述性综述强调了数字工具在资源匮乏环境中进行团队模拟训练的潜力。本综述列出了一系列用于情景规划、情景设计和评估的经济实惠的数字工具。它涵盖了各种应用程序和平台,详细介绍了它们的功能、类型和可访问性。有不同的低成本数字工具可供使用,从用于情景规划的生成式人工智能到模拟案例的在线存储库、基于浏览器的评估设计工具和模拟游戏。这些数字工具可以使模拟变得易于实现,将其转变为一种沉浸式学习体验,以增强理解和技能获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9f8/10893818/71de4c8544cc/IJA-68-71-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9f8/10893818/b5aa16c9a98e/IJA-68-71-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9f8/10893818/d8b7630fb9de/IJA-68-71-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9f8/10893818/bff1216dcd85/IJA-68-71-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9f8/10893818/12cb746de592/IJA-68-71-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9f8/10893818/71de4c8544cc/IJA-68-71-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9f8/10893818/b5aa16c9a98e/IJA-68-71-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9f8/10893818/d8b7630fb9de/IJA-68-71-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9f8/10893818/bff1216dcd85/IJA-68-71-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9f8/10893818/12cb746de592/IJA-68-71-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9f8/10893818/71de4c8544cc/IJA-68-71-g005.jpg

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Bloom's taxonomy of cognitive learning objectives.
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