模糊逻辑护理工具用于在手术患者中早期检测急性损伤
Nooreena Yusop1, Samsiah Mat1, Ruslinda Mustafar2
1Faculty of Nursing, University College of MAIWP International (UCMI), Kuala Lumpur, Malaysia.
Frontiers in nephrology
|September 12, 2025
概括
一个新的急性损伤 (AKI) 护理风险评估工具,增强了模糊逻辑,改善了手术患者的早期检测. 该工具支持护士识别AKI风险,尽管建议进一步验证.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 手术护理 医疗护理
- 医疗信息学 医疗信息学
背景情况:
- 急性损伤 (AKI) 是一种常见的,可预防的手术并发症,影响患者的治疗结果和医疗费用.
- 目前的护理实践缺乏用于主动AKI风险评估的标准化工具,这阻碍了早期干预.
研究的目的:
- 开发和评估急性损伤护理风险评估 (NURA-AKI) 工具.
- 整合模糊逻辑模型 (FLM) 以提高护理领导的AKI风险检测和决策的准确性.
主要方法:
- 使用了三个阶段的设计和开发研究 (DDR) 框架.
- 第一个阶段:通过与外科护士的重点小组进行需求分析.
- 第二阶段:通过专家共识和系统文献审查开发工具.
- 第三阶段:准实验性评估,75名护士评估HCTM的200名患者.
主要成果:
- 努拉-AKI工具的预测准确率为81.3%,其中95.7%的护士报告了积极的感知.
- 模糊逻辑将患者分为风险组:有风险 (33.5%),边缘 (20.5%) 和没有风险 (46.0%).
- 在AKI风险和患者人口统计,并发症,临床参数,手术类型和毒剂使用之间发现了显著的关联 (p < 0.05).
结论:
- 努拉-AKI工具在早期AKI检测中显示出可用性和临床可行性的承诺.
- 需要进一步的多中心验证,以确认其更广泛的适用性.
- 该工具旨在增强,而不是取代,在手术护理中进行结构化风险沟通的临床判断.
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