开发基于人工智能的临床决策支持系统,用于护理诊断
Gülengün Türk1, Nihal Taşkıran1, Orhan Er2
1Department of Fundamentals of Nursing, Aydin Adnan Menderes University Faculty of Nursing, Aydın, Turkey.
Nursing outlook
|November 7, 2025
概括
人工智能 (AI) 通过提高准确性和效率来增强护理诊断. 一个人工智能决策支持系统帮助护士更快,更一致的临床推理和护理规划.
科学领域:
- 护理信息学 护理信息学
- 临床决策支持系统 临床决策支持系统
- 医疗保健中的人工智能
背景情况:
- 护理诊断对于患者护理规划和沟通至关重要.
- 诊断的准确性经常受到高工作负载和复杂的患者数据的阻碍.
- 人工智能 (AI) 的整合可以改善临床推理和标准化护理语言.
研究的目的:
- 开发基于人工智能的临床决策支持系统 (CDSS).
- 为了提高护理的诊断准确性,使用更少的定义特征.
- 利用人工智能改善护理中的临床决策.
主要方法:
- 利用戈登的功能健康模式模型进行数据收集.
- 收集了122名患者的数据,包括定义特征,风险因素和护理诊断.
- 测试了各种机器学习算法,以确定诊断准确度.
主要成果:
- 纯粹的贝叶斯算法在所有指标上实现了96.33%的准确性.
- 使用50个最重要的变量,梯度提升达到82.94%的准确性.
- 有效地确定了关键的护理诊断,如"肥胖"和"急性疼痛".
结论:
- 基于人工智能的CDSS在护理诊断中表现出高准确度.
- 该系统显示有潜力帮助护士更快地做出诊断决策.
- 人工智能可以支持更一致,更准确的护理计划.
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