在护理中拥抱创新和GenAI:来自现场的早期经验教训
Cheristi Cognetta-Rieke1, Betty Jo Rocchio2, Jill D Seys2
1Mayo Clinic Department of Nursing, Rochester, MN.
Nursing outlook
|August 15, 2025
概括
生成型人工智能 (GenAI) 为提高护理实践和患者护理提供了重大机会. 战略采用,专业间合作和护士参与是成功将AI整合到医疗保健中的关键.
科学领域:
- 医疗保健创新 医疗保健创新
- 护理信息学 护理信息学
- 人工智能在医学中的应用
背景情况:
- 医疗保健面临着不断变化的挑战,需要创新的解决方案.
- 人工智能 (AI) 的整合对于增强患者护理和支持护理至关重要.
- 生成型人工智能 (GenAI) 在护理领域带来了新的机遇.
研究的目的:
- 探索GenAI在护理中的机遇.
- 确定利用GenAI来扩大护理工作的考虑因素.
- 概述加速在护理中采用GenAI的策略.
主要方法:
- 关于人工智能在医疗保健和护理方面的文献综述.
- 分析了来自梅西和梅奥诊所的案例研究.
- 专业间合作和技术杆的讨论.
主要成果:
- 基因人工智能可以增强护理实践,改善患者护理.
- 成功实施人工智能需要战略规划和道德考虑.
- 前线护士的积极参与对于人工智能采用至关重要.
结论:
- 通过采用人工智能,护士可以引领医疗保健服务的变革性变化.
- 专业间的合作和不断改进的文化是必不可少的.
- 利用技术和让护士参与人工智能设计对于成功至关重要.
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