护理教育和人工智能 人工智能
Jane M Carrington1, Rene Love1, Michael D Bumbach1
1University of Florida, College of Nursing.
Studies in health technology and informatics
|July 25, 2024
概括
美国护理学院协会正在采用基于能力的教育,使用数据和人工智能进行有针对性的学生评估. 这定义了"精确护理教育",以衡量新教育模式中的表现.
科学领域:
- 护理教育 护理教育
- 医疗信息学 医疗信息学
- 教育中的人工智能
背景情况:
- 美国护理学院协会 (AACN) 正在将护理教育转变为基于能力的模式.
- 这种基于能力的护理教育强调知识的证明,并依赖于绩效指标和数据.
- 医学和护理领域现有的精准应用突显了数据驱动方法的潜力.
研究的目的:
- 定义"精准护理教育"的概念.
- 探索将数据和人工智能整合到护理教育中的影响.
- 在基于能力的护理教育中建立一个评估学生表现的框架.
主要方法:
- 进行了全面的概念分析.
- 该研究的重点是分析精密护理教育的核心组成部分和特征.
- 进行了文献审查和对数据,人工智能和护理教育现有研究的综合.
主要成果:
- 定义了"精准护理教育"的概念.
- "精密护理教育"的特点是利用数据和人工智能.
- 这种方法旨在衡量学生护士在基于能力的护理教育中的表现.
结论:
- 护理信息学对于支持数据和人工智能在护理教育中的整合至关重要.
- 精准护理教育为护理学生提供了有针对性的评估方法.
- 需要进一步的研究才能充分理解精密护理教育的含义和应用.
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