人工智能用于症状管理和临床决策支持,用于息护理
Roison Andro Narvaez1, Marilane Ferrer1, Ralph Antonio Peco1
1Registered nurse, Centro Escolar University, Manila, Phillippines.
International journal of palliative nursing
|June 19, 2025
概括
人工智能 (AI) 通过改善症状管理和决策支持来增强息护理. 本综述绘制了AI在症状评估,死亡率预测和护理计划中的应用,强调了对患者结果的好处.
科学领域:
- 抚慰性护理是一种缓解性护理.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 越来越多地被用于缓和护理,用于症状管理和决策支持.
- 人工智能在息护理中的范围和实施策略需要进一步探索.
研究的目的:
- 从2015年到2025年绘制实证研究,利用人工智能在息环境中.
- 重点领域包括症状评估,死亡率预测和护理计划.
主要方法:
- 根据阿克西和奥马利的框架进行范围审查.
- 报告与PRISMA-ScR指南保持一致.
- 使用混合方法评估工具进行研究评估.
主要成果:
- 12项同行评审的研究确定了关键的人工智能主题:预测建模,自动症状检测 (NLP,决策树),可穿戴/时间序列预测,工作流集成以及可解释性/信任性.
- 人工智能在症状控制,及时转诊和跨学科协调方面取得了改进.
- 早期识别高风险患者和实时生理追踪有明显的好处.
结论:
- 人工智能具有显著的潜力,可以通过主动,数据驱动的护理来增强息护理.
- 伦理考虑,全面培训和严格的验证对于人工智能在息护理中的可持续采用至关重要.
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