临床模拟与聊天:医学教育的革命?

Journal of CME Pub Date : 2025-06-27 eCollection Date: 2025-01-01 DOI:10.1080/28338073.2025.2525615
Aziel Alejandro Peralta Ramirez, Sergio Trujillo López, Gonzalo Armando Navarro Armendariz, Sayil Alejandra De la Torre Othón, Marcial Ramin Sierra Cervantes, Juan Antonio Medina Aguirre
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摘要

临床模拟是医学教育的关键,但传统的临床模拟实施成本高,操作复杂。本研究探索了使用ChatGPT(生成式人工智能)来创建交互式临床场景,并评估了学生对这一创新工具的看法。对32名四、五年级医学生进行了一项探索性的横断面研究。设计了一个急性冠状动脉综合征病例,其中ChatGPT (GPT-4)作为虚拟患者,动态响应学生的问题和决定。模拟结束后,参与者完成了一份包含20个李克特量表项目和开放式问题的调查。结果显示了很高的满意度:超过90%的人认为病例清晰和现实,94%的人积极评价虚拟患者的反应,88%的人认为困难是适当的。此外,97%的人认为自动反馈很有用。定性评论强调了体验的沉浸感和安全性,让学生练习时不必担心犯错误。建议增加临床深度,调整病例难度。ChatGPT是一种很有前途的临床模拟工具,它提供了现实和具有挑战性的场景,学生认为这些场景有利于在安全的环境中发展临床推理和决策技能。自动化反馈受到高度重视。然而,本研究是探索性的,需要进一步的更大样本的研究来验证其教育影响,并解决诸如内容监督和AI在医学教育中的伦理整合等挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical Simulation with ChatGpt: A Revolution in Medical Education?

Clinical simulation is key in medical education, but its traditional implementation is costly and complex. This study explored the use of ChatGPT (generative AI) to create interactive clinical scenarios and evaluated students' perceptions of this innovative tool. An exploratory, cross-sectional study was conducted with 32 fourth- and fifth-year medical students. A case of acute coronary syndrome was designed, where ChatGPT (GPT-4) acted as a virtual patient, dynamically responding to students' questions and decisions. After the simulation, participants completed a survey with 20 Likert-scale items and open-ended questions. The results showed high satisfaction: more than 90% considered the case clear and realistic, 94% positively evaluated the virtual patient's responses, and 88% perceived the difficulty as appropriate. Additionally, 97% found automated feedback useful. Qualitative comments highlighted the immersion and safety of the experience, allowing students to practice without fear of making mistakes. Some suggestions included adding greater clinical depth and adjusting the case difficulty. ChatGPT is a promising tool for clinical simulation, offering realistic and challenging scenarios that students perceive as beneficial for developing clinical reasoning and decision-making skills in a safe environment. Automated feedback was highly valued. However, this study is exploratory, and further research with larger samples is needed to validate its educational impact and address challenges such as content supervision and the ethical integration of AI in medical education.

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