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人工智能融入护理过程:对基于NANDA,NOC和NIC的护理计划进行比较分析
Ester Gilart1, Anna Bocchino2, Patricia Gilart-Cantizano3
1Department of Nursing and Physiotherapy, University of Cádiz, 11009 Cádiz, Spain.
Nursing reports (Pavia, Italy)
|June 25, 2025
概括
人工智能 (AI) 与人类专业人员相比,显著提高了护理护理计划的质量和效率. 人工智能工具为优化护理诊断提供了一个有希望的解决方案,尽管人类监督和道德考虑对整合至关重要.
科学领域:
- 护理信息学 护理信息学
- 医疗保健中的人工智能
- 临床决策支持系统 临床决策支持系统
背景情况:
- 护理诊断是一个复杂的,耗时的过程.
- 实施挑战包括工作量,时间限制和系统阻力.
- 当前的文档系统往往导致专业的不满.
研究的目的:
- 将人工智能生成的护理护理计划的质量和效率与人类专业人员进行比较.
- 使用NANDA,NOC和NIC分类学来评估AI性能.
- 评估护理专业人员对计算机化诊断系统的看法.
主要方法:
- 使用三个模拟临床病例进行的观察性研究.
- 包括30名专家,54名护理专业人员和ChatGPT (GPT-4) 在内.
- 使用Delphi技术进行专家计划,EADE-2标签进行评估,以及非参数测试进行分析.
主要成果:
- 聊天GPT的质量得分明显更高 (p < 0.001).
- 人工智能在35秒内解决了案件,而专业人士的时间为30分钟.
- 专业人士表示对现有的文档系统不满.
结论:
- 人工智能显示出优化护理诊断过程的巨大潜力.
- 有效的AI集成需要人类监督,道德考虑和系统改进.
- 人工智能可以提高护理计划的效率和质量.
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