紧急护理中的AI前沿:护理干预的下一个演变
Zakaria Mani1, Bander Albagawi2,3
1Nursing Department, Jazan University, Jazan, Saudi Arabia.
Frontiers in public health
|December 26, 2024
概括
紧急护理中的人工智能 (AI) 提供了提高效率和数据驱动的护理,但在数据隐私,基础设施和算法偏见方面面临挑战. 为了在紧急情况下安全和道德地采用人工智能,需要谨慎的导航.
科学领域:
- 紧急医疗 紧急医疗
- 护理信息学 护理信息学
- 人工智能应用程序 人工智能应用程序
背景情况:
- 紧急服务部门面临着对高效和有效的患者护理的日益增长的需求.
- 人工智能 (AI) 提出了优化紧急护理工作流程的潜在解决方案.
- 了解人工智能在急诊护理中的当前环境对于战略实施至关重要.
研究的目的:
- 进行对人工智能在急诊护理中的利用进行范围审查.
- 评估人工智能在该领域采用人工智能的影响,好处和障碍.
- 确定用于紧急护理的人工智能的未来研究和开发领域.
主要方法:
- 对相关文献数据库进行系统搜索.
- 对专注于人工智能在急诊护理中的研究进行选和选择.
- 对已确定的人工智能应用,好处和挑战进行主题分析.
主要成果:
- 人工智能应用范围从先进的分拣和患者监测到诊断支持和临床决策.
- 潜在的好处包括提高效率,及时采取数据驱动的行动,以及改善患者护理.
- 主要障碍包括患者数据保护,基础设施可靠性以及对算法歧视的担忧.
结论:
- 人工智能对推进紧急医疗保健实践和患者结果具有重大前景.
- 解决与数据安全,基础设施和道德算法设计相关的挑战对于安全的AI集成至关重要.
- 进一步的实证研究对于验证AI在动态紧急护理环境中的有效性至关重要.
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