提示,隐私和个性化学习:将人工智能集成到护理教育中 - 一项定性研究
Mingyan Shen1,2, Yanping Shen3, Fangchi Liu4
1Shulan (Hangzhou) Hospital, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, P. R. China. 289155169@qq.com.
BMC nursing
|April 29, 2025
概括
生成型人工智能 (GenAI) 可以通过快速工程改进护理计划开发来增强护理教育. 然而,道德考虑和情感细微差别的限制需要仔细整合,以补充,而不是取代人文护理技能.
科学领域:
- 护理教育 护理教育
- 医疗保健中的人工智能
- 临床推理 临床推理
背景情况:
- 生成型人工智能 (GenAI) 为护理教育提供了新的方法,改善了临床推理和个性化学习.
- 伦理使用,数据隐私和理解情感细微差别是人工智能在护理中的关键问题.
研究的目的:
- 探索护理学生如何使用GenAI来制定护理计划,重点是快速工程.
- 确定将GenAI整合到护理教育中的挑战和机会,同时保持人文技能.
主要方法:
- 使用半结构面试与第三年本科护理学生进行定性研究.
- 学生使用匿名案例和GenAI工具,代设计护理计划提示.
- 专题分析被用来理解人工智能促进的学习和道德问题.
主要成果:
- GenAI工具提高了效率和概念的清晰度,使得专注于更高级的临床思维.
- 快速工程提高了人工智能生成的护理计划的准确性和相关性.
- 学生们注意到对不完整的反应,缺乏情感理解和数据隐私的担忧,将GenAI视为补充剂.
结论:
- 基因人工智能在护理教育中具有变革性的潜力,强调结构化即时工程和道德保障.
- 将人工智能与同情心和文化敏感度相平衡,可以为未来的实践加深临床推理.
- 需要进一步的研究来验证研究结果,并完善GenAI在护理课程中的整合.
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