麻醉教育的未来:将技术融入更安全的实践。

IF 2.1
Soojie Yu, Layne M Bettini, Monica W Harbell
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引用次数: 0

摘要

审查目的:虽然有效的患者安全教育对减少医疗差错至关重要,但关于患者安全课程最佳做法的指导很少。这篇综述探讨了麻醉学患者安全教育的现状,并强调了新兴技术作为加强和个性化教育的工具。最近的研究发现:尽管有认证机构的正式授权,但麻醉患者安全教育在内容、方式和评估方面缺乏标准化。结构化临床培训、模拟和质量改进项目是常见的教学策略,但沉浸式现实(IR)、人工智能(AI)驱动的代理、游戏化和移动平台等新方法正在获得牵引力。人工智能在定制教学和识别高风险学习者方面显示出前景,而人工智能为技术和非技术技能培训提供了工具。摘要:麻醉患者安全教育随着技术的发展而发展。人工智能和数字工具提供了适应性和互动性的学习体验,可能有助于解决目前固定的、通用的课程结构和可访问性方面的限制。然而,这些创新需要强有力的验证和深思熟虑的整合到教育框架中,以充分发挥其潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The future of anesthesia education: incorporating technology for safer practices.

Purpose of review: Although effective patient safety education is critical to reducing medical errors, little guidance exists on best practices for patient safety curricula. This review explores the current state of patient safety education in anesthesiology and highlights emerging technologies as tools to enhance and personalize education.

Recent findings: Despite formal mandates from accrediting bodies, patient safety education in anesthesiology lacks standardization in content, delivery, and assessment. Structured clinical training, simulation, and quality improvement projects are common teaching strategies, but novel approaches such as immersive reality (IR), artificial intelligence (AI)-powered agents, gamification, and mobile platforms are gaining traction. AI shows promise in tailoring instruction and identifying high-risk learners, and IR offers tools for both technical and nontechnical skills training.

Summary: Patient safety education in anesthesiology is evolving with technology. AI and digital tools provide adaptive and interactive learning experiences that may help address current limitations in fixed, generalized curriculum structure and accessibility. However, these innovations require robust validation and thoughtful integration into educational frameworks to realize their full potential.

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