在人工智能时代,医疗保健质量和患者安全
Piyush Mathur1, Reem Khatib2, Dharan Sankar Jaisankar3
1Department of Anesthesiology, Cleveland Clinic, OH, USA; Case Western Reserve University School of Medicine, Cleveland, OH, USA; BrainXAI ReSearch, BrainX LLC, Cleveland, OH, USA.
The Medical clinics of North America
|August 2, 2025
概括
数字健康技术通过启用主动护理来提高医疗保健质量和患者安全. 像人工智能和远程医疗这样的关键创新提高了决策和参与度,但必须解决数据隐私和公平挑战.
科学领域:
- 医疗信息学 医疗信息学
- 数字健康数字健康
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 医疗保健正在从反应型转变为主动型.
- 数字健康技术是这种转型的核心.
- 电子健康记录,人工智能和远程医疗是关键组成部分.
研究的目的:
- 探索数字卫生技术对医疗保健质量和患者安全的影响.
- 检查这些技术如何促进主动护理模式.
- 识别与数字健康整合相关的好处和挑战.
主要方法:
- 审查数字健康工具的进展,包括电子健康记录,人工智能和远程医疗.
- 分析数据分析和移动应用程序的作用.
- 对系统性和实时信息传递的检查.
主要成果:
- 数字健康技术增强了临床决策,患者参与和护理协调.
- 人工智能和数据分析改善了提供高质量的护理.
- 远程医疗扩大了患者的访问和互动.
结论:
- 数字健康整合彻底改变了医疗保健质量和患者安全.
- 解决数据隐私和健康差距等挑战对于公平获取至关重要.
- 采用数字健康和人工智能支持高质量,主动的医疗保健服务.
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