护理中的人工智能:值得信赖还是可靠?
Oliver Higgins1,2, Stephan K Chalup3, Rhonda L Wilson4
1PhD Candidate, School of Nursing and Midwifery, University of Newcastle, Gosford, NSW, Australia.
Journal of research in nursing : JRN
|July 29, 2024
概括
临床人工智能 (AI) 的可靠性需要评估其可靠性和有效性,而不仅仅是信任. 重构人工智能可信度可以确保安全有效地融入医疗保健实践.
科学领域:
- 医疗保健创新 医疗保健创新
- 临床信息学是一种临床信息学.
- 人工智能在医学中的应用
背景情况:
- 临床医生对信任和信心表示担忧,认为这是采用人工智能 (AI) 在临床环境中的障碍.
- 人工智能目前缺乏对人类互动中不可或缺的信任的互惠性质的情感能力.
研究的目的:
- 为应对对人工智能系统期望人类类似信任的挑战.
- 通过评估其可靠性和有效性,重新定义AI可信度,类似于其他临床仪器.
主要方法:
- 在临床背景下对人工智能的信任的概念分析.
- 基于可靠性和有效性指标对AI性能进行评估.
主要成果:
- 人工智能干预应评估其能力,可靠性和有效性,优先考虑质量和安全性.
- 护士需要治疗建议,详细说明AI预测的有效性和信心,最终决定由临床医生做.
- 未来的研究应该探索人工智能在护理中的作用及其对护理实践的影响.
结论:
- 专注于信任,而不是可靠性和有效性,可能会导致临床用户的负面体验.
- 在护理中成功实施人工智能需要了解信任和信誉的复杂性.
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