临床和人工智能在护士实践中的交集
Martha M Whitfield1, Md Habibor Rahman2, Kristopher Jackson1
1Community Nursing Department, College of Nursing and Health Sciences, University of Massachusetts Dartmouth, North Dartmouth, Massachusetts.
Journal of the American Association of Nurse Practitioners
|August 26, 2025
概括
人工智能无法复制执业护士的专业知识. 真正的临床准备需要超越人工智能能力的情境判断和人类联系.
科学领域:
- 护理工作
- 人工智能
- 计算机科学
- 机器人技术
背景情况:
- 最近的一份出版物评估了ChatGPT在执业护士 (NP) 认证考试中的表现.
- 该出版物质疑人工智能护士的潜力.
- 这篇评论批判性地反映了AI进步的背景下NP的专业知识.
研究的目的:
- 挑战通过考试等同于临床准备的概念.
- 突出护士专业知识的独特方面,称为"临床智能".
- 讨论人工智能素养在护理教育和实践中的作用.
主要方法:
- 思考性评论和批判性分析.
- 根据NP专业知识的定义对AI能力的评估.
- 对上下文判断,人类联系和临床推理进行讨论.
主要成果:
- 正确的检查答案不仅定义了临床准备.
- 执业护士拥有独特的"临床智力",包括判断力,同情心和高级推理能力.
- 人工智能素养很重要, 但人工智能不能取代核心护理角色.
结论:
- 像ChatGPT一样, 人工智能无法复制执业护士的多方面的专业知识.
- 人类连接和先进的临床推理是NP实践中不可或缺的组成部分.
- 建议谨慎对待人工智能可以取代护理专业人员的说法.
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