从铁肺到人工智能:将新技术整合到重症监护中
Seo Yoon Lee1, Alvin D Jeffery2
1Seo Yoon Lee is a postdoctoral fellow, Center for Research and Scholarly Development, School of Nursing, Vanderbilt University, Nashville, Tennessee.
概括
人工智能 (AI) 可以通过改善预测和工作流程来改变临床护理. 然而,仔细的验证和以人为中心的方法对于安全有效的整合至关重要.
科学领域:
- 关键护理医学 关键护理医学
- 医学技术 医学技术 医学技术
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 正迅速成为医疗保健中的床头工具.
- 从历史上看,重症监护医生采用了变革性的技术.
- 人工智能有可能彻底改变重症监护服务.
研究的目的:
- 探索人工智能在重症监护中的潜力.
- 确定人工智能采用的挑战和必要步骤.
- 强调以人为中心的AI整合方法.
主要方法:
- 对人工智能在重症监护中的当前和潜在应用进行审查.
- 讨论包括问责制,偏见,安全和人类因素在内的挑战.
- 强调临床医生的教育和人工智能工具的验证.
主要成果:
- 人工智能可以增强疾病预测,临床决策和工作流程优化.
- 未来的潜力包括自主调整和个性化护理.
- 成功的整合需要解决道德问题并促进合作.
结论:
- 在重症监护中采用人工智能需要谨慎,严格验证和以人为中心的战略.
- 临床医生必须培养人工智能素养,并保持批判性判断.
- 积极的准备可以利用人工智能的力量,同时保持人类的专业知识和同情心.
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