卫生教育和实践中的人工智能:对卫生学生和学者知识,感知和经验的系统审查
Sara Shishehgar1, Pauline Murray-Parahi2, Ethar Alsharaydeh1
1School of Nursing and Midwifery, Western Sydney University, Australia.
这一系统性审查发现,卫生学生对医疗保健中的人工智能 (AI) 的看法各不相同. 建议将人工智能培训纳入卫生课程,以准备未来的专业人员并解决道德问题.
科学领域:
- 医疗保健教育 医疗保健教育
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地融入医疗保健教育和实践.
- 服务前培训对于卫生专业人员有效利用人工智能技术至关重要.
- 了解学生和学术界对人工智能的看法对于课程开发至关重要.
研究的目的:
- 系统地审查卫生学生和学者对在医疗保健实践中使用人工智能的看法.
- 识别当前卫生课程中关于人工智能培训的差距.
- 为培养未来医疗保健专业人员的课程制定提供信息.
主要方法:
- 系统审查过去七年内发表的定量和定性研究.
- 在多个数据库进行搜索,包括Medline,科学网,CINAHL,ERIC,谷歌学者和Scopus.
- 数据提取,质量评估和主题/描述性分析由JBI SUMARI.提供.
主要成果:
- 十二项研究显示,跨学科和人口统计数据的卫生学生对人工智能的态度和识字程度存在显著差异.
- 高年级学生和那些追求研究职业的人对人工智能表现出更有利的看法.
- 定性数据突出了有限的人工智能素养,道德问题以及人工智能在医疗保健实践中的感知作用等主题.
结论:
- 将人工智能培训纳入卫生课程强烈建议未来的医疗保健专业人员,特别是护士.
- 解决道德问题和人工智能在实践中的未来作用对于课程开发至关重要.
- 需要进一步研究将人工智能培训整合到健康教育中的影响和成本效益.
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