探索护士对以患者为中心的人工智能系统的接受度和准备度
Holly Kirkland-Kyhn1, Tuba Sengul2, Ayise Karadag2
1UC Davis Medical Center, Sacramento, CA.
Advances in skin & wound care
|August 25, 2025
概括
护士们已经准备好采用人工智能来预防压力伤害, 人工智能提供了更好的风险预测和个性化干预,提高了患者护理质量和临床结果.
科学领域:
- 护理信息学
- 医疗保健中的人工智能
- 患者安全
背景情况:
- 目前由护士领导的压力损伤风险评估工具具有局限性,特别是在特定的患者群体中.
- 提高PI风险分层的准确性和可靠性对于提高患者安全和护理质量至关重要.
研究的目的:
- 探索护士对以患者为中心的人工智能 (AI) 技术的接受度和准备程度,以防止压力伤害.
- 为预防PI提供临床应用AI技术的设计信息.
主要方法:
- 涉及2个国家的202名国际护士的定性描述性研究.
- 通过聚焦小组讨论和书面回复收集的数据.
- 使用MAXQDA软件进行了主题分析.
主要成果:
- 确定了布拉登尺度的临床挑战,包括特定患者群体的准确性,可靠性和局限性.
- 护士们对人工智能在先进的风险预测和实时数据方面表达了期望,同时也对可接受性,教育,数据准确性和道德问题表示担忧.
- 探索人工智能集成系统的好处,例如自动化文档,早期预警系统和人工智能支持的个性化干预决策支持.
结论:
- 现有的护士主导的风险评估系统需要加强,以确保不同患者群体的安全性和护理质量.
- 基于人工智能的系统显示出更准确的PI风险预测和个性化干预的潜力,改善临床决策和结果.
- 护士已经准备好采用人工智能, 但有针对性的教育对于成功整合和优化患者护理至关重要.
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