导航人工智能在护理中的整合:机遇,挑战和战略行动
Rick Yiu Cho Kwan1,2,3, Anson Chui Yan Tang1,2, Janet Yuen Ha Wong1,4
1Pi Iota At-large Chapter, Sigma Asia, Hong Kong, China.
International journal of nursing sciences
|June 18, 2025
概括
人工智能 (AI) 在护理实践,教育和研究中提供了变革性的潜力. 然而,诸如技能差距,道德问题和潜在的职位流离失所等挑战需要战略解决方案来有效地整合人工智能.
科学领域:
- 护理 护理 护理
- 医疗保健技术 技术 医疗保健 技术
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在越来越多地影响医疗保健,为护理实践,教育和研究提供了新的可能性.
- 人工智能整合有望增强临床解决方案,改善护理学生的学习体验,并推进研究方法.
- 尽管它有潜力,但在护理中采用人工智能面临着重大障碍.
研究的目的:
- 探索人工智能在护理实践,教育和研究中的变革潜力.
- 确定与人工智能在护理领域的整合相关的关键挑战.
- 为护理中有效和道德的人工智能实施提出战略行动.
主要方法:
- 关于人工智能在医疗保健和护理中的应用的文献评论.
- 在护理教育和实践中采用人工智能的当前挑战的分析.
- 对人工智能在护理中的潜在解决方案和伦理考虑的综合.
主要成果:
- 人工智能可以彻底改变护理方法,学习和患者的结果.
- 关键的挑战包括潜在的就业流离失所,护士人工智能能力滞后以及道德困境.
- 伦理问题包括数据隐私,患者同意和算法偏见.
结论:
- 战略行动是必要的,以利用人工智能在护理方面的潜力.
- 建议包括重新投资于人文实践,修改护理课程以提高人工智能能力,并制定强有力的道德准则.
- 应对这些挑战将确保负责任和有益的AI整合到护理中.
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