关键护理中的人工智能:未来的路线图
J D Workum1, G Meyfroidt2, J Bakker3
1Department of Adult Intensive Care, Erasmus University Medical Center, Rotterdam, the Netherlands; Erasmus MC Datahub, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Intensive Care, Elisabeth-TweeSteden Hospital, Tilburg, the Netherlands.
Journal of critical care
|September 24, 2025
概括
人工智能 (AI) 可以通过提高患者护理和效率来改变重症监护. 本指南为重症监护医生提供了一份路线图,以便在重症监护病房 (ICU) 负责任地实施AI,解决成功整合的挑战.
科学领域:
- 关键护理医学 关键护理医学
- 医疗信息学医学信息学
- 人工智能应用的人工智能应用.
背景情况:
- 人工智能 (AI) 具有显著的潜力,可以提高患者护理,优化资源配置,并减少临床医生在重症监护机构的工作量.
- 尽管有希望,但人工智能在重症监护室 (ICU) 的广泛采用受到阻碍,许多应用仍处于研究阶段.
研究的目的:
- 为密集医生和ICU提供实施AI的实际路线图.
- 引导人工智能技术在重症监护医学的战略和负责任的整合.
主要方法:
- 建议采用基于风险的三层人工智能实施方法,从行政人工智能开始,发展到后勤人工智能,最终达到医疗人工智能决策支持系统.
- 强调在整个AI生命周期内,从开发到扩展,整合负责任的AI原则.
- 为解决共同实施障碍的积极战略,包括技术,组织和临床挑战.
主要成果:
- 拟议的路线图有助于在ICU内逐步建立AI专业知识和技术准备.
- 这种分阶段的方法允许增量价值的证明和与监管标准的调整.
- 成功的AI集成可以改善患者的治疗结果和改善临床医生的经验.
结论:
- 通过结构化,基于风险的实施策略,可以实现在ICU中可持续的AI集成.
- 强化人员在塑造人工智能在重症监护中的未来至关重要,确保负责任和有效的采用.
- 战略人工智能实施有望彻底改变重症监护医学,以改善患者和临床医生的结果.
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