聊天GPT效应和转变护理教育与生成AI:讨论纸
Lucija Gosak1, Lisiane Pruinelli2, Maxim Topaz3
1Faculty of Health Sciences, University of Maribor, Maribor 2000, Slovenia.
Nurse education in practice
|January 14, 2024
概括
本研究探讨了使用聊天生成预培训变压器 (ChatGPT) 进行护士教育的文档. 虽然ChatGPT有助于识别护理诊断,但人类监督对于准确性和NANDA-I合规性至关重要.
科学领域:
- 护理信息学 护理信息学
- 医疗保健中的人工智能
背景情况:
- 准确的护理诊断是有效的护理干预和结果的基础.
- 整合像ChatGPT这样的人工智能 (AI) 工具可以简化护理文档,节省宝贵的时间.
- 护士教育必须不断发展,以整合人工智能,以实现高效和准确的患者护理文档.
研究的目的:
- 评估聊天生成预培训变压器 (ChatGPT) 在教育护士护理文档过程中的潜力.
- 展示ChatGPT如何帮助产生护理诊断,干预和结果.
- 评估ChatGPT生成的护理诊断与NANDA-I.I.等标准化分类的协调程度.
主要方法:
- 采用了讨论纸格式.
- 使用了Train4Health在预防护理方面的案例研究.
- 聊天GPT被提示使用患者数据来生成护理诊断,干预和结果,然后进行合成.
主要成果:
- 聊天GPT可以帮助护士识别潜在的患者问题,并指导记录过程.
- 虽然ChatGPT提供了相关的护理诊断,但许多诊断并不符合北美护理诊断协会 - 国际 (NANDA-I) 的分类.
- 发现的一个重大局限性是ChatGPT在护理诊断中缺乏特异性,导致不准确.
结论:
- 利用ChatGPT进行护士教育和文档支持,可以节省时间.
- 在护理实践中使用人工智能工具时,人类的批判性思维和事实核查仍然至关重要.
- 人工智能工具的进一步改进是必要的,以确保准确和标准化的护理文档.
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