在人工智能时代,护士如何在慢性病管理方面工作? 发展和未来的前景
Ye Minghui1, Yingying Hu2, Zhongiu Lu2
1First author: Nursing Administration department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Digital health
|December 20, 2023
概括
人工智能 (AI) 正在改变慢性疾病护理. 提高护士人工智能参与度需要了解他们在症状分析和长期患者管理中的关键作用.
科学领域:
- 医疗信息学 医疗信息学
- 护理科学 护理科学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在彻底改变医学研究和患者护理.
- 慢性病护理从人工智能应用中获得了显著的好处.
- 护士是症状监测和研究的核心,但经常被排除在AI开发之外.
研究的目的:
- 探索护士在人工智能驱动的症状分析和长期慢性疾病管理中的当前和潜在角色.
- 确定护士参与人工智能开发和实施的障碍.
- 倡导更多的护士参与人工智能研究,以优化其在护理中的应用.
主要方法:
- 在慢性疾病管理当前的人工智能研究的文献综述.
- 分析护士在症状数据收集和患者监测中的角色.
- 探索影响护士对人工智能的理解和感知因素.
主要成果:
- 当前的人工智能研究往往将护士从发育阶段排除在外,限制了他们的投入.
- 护士的专业知识对于全面的症状分析和管理策略至关重要.
- 有限的理解和模糊的角色感知阻碍了护士的AI参与.
结论:
- 护士积极参与人工智能开发对于有效的症状分析和慢性疾病管理至关重要.
- 解决知识差距和澄清护士贡献的价值将促进更大的AI整合.
- 未来的研究应该优先考虑理解和增强护士在AI中的角色,以最大限度地提高其在医疗保健中的好处.
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