护理中的人工智能:技术对护士心理健康和患者护理质量的好处
Hamad Ghaleb Dailah1, Mahdi Koriri1, Alhussean Sabei1
1College of Nursing and Health Sciences, Jazan University, Jazan 45142, Saudi Arabia.
Healthcare (Basel, Switzerland)
|January 8, 2025
概括
人工智能 (AI) 可以通过自动化任务和改进工作负载管理来缓解护士倦怠,并增强患者护理. 将人工智能整合到护理中需要谨慎的策略,以解决伦理和数据隐私问题,以获得持续的影响.
科学领域:
- 护理 护理 护理
- 医疗保健技术 技术 医疗保健 技术
- 心理健康 心理健康
背景情况:
- 由于苛刻的工作量,护士经历了诸如压力和倦怠等重大的心理健康挑战.
- 这些挑战影响了护士福利和患者护理质量.
- 人工智能 (AI) 为医疗保健中的这些问题提供了潜在的解决方案.
研究的目的:
- 在过去的40年里,对人工智能在护理中的整合进行文献审查.
- 探索人工智能在支持护士心理健康和改善患者护理方面的作用.
- 检查围绕人工智能在护理中的伦理考虑.
主要方法:
- 使用PubMed和谷歌学者进行了全面的文献搜索.
- 布尔运算符被用来提炼搜索结果的相关性.
- 专注于人工智能在患者护理,伦理学和护理心理健康方面的出版物得到了批判性审查.
主要成果:
- 人工智能可以通过自动化例行任务和优化工作量来缓解护士心理健康问题.
- 人工智能集成有可能显著提高患者护理的标准.
- 伦理问题,数据隐私和以人为中心的决策是关键的考虑因素.
结论:
- 人工智能为解决护士心理健康挑战和改善患者结果提供了一个有希望的途径.
- 成功的AI整合需要强大的实施策略,重点关注道德准则和数据安全.
- 以人为中心的方法对于实现人工智能在护理中的持续和显著影响至关重要.
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