Bohn Benjamin, Anselmann Veronika
Institute of Nursing Science, University of Education Schwaebisch Gmuend, Oberbettringer Str. 200, 73525 Schwaebisch Gmuend, Germany.
Appl Nurs Res. 2024 Dec;80:151867. doi: 10.1016/j.apnr.2024.151867. Epub 2024 Nov 12.
The release of the open-source platform ChatGPT in November 2022 created massive interest in the possibilities of artificial intelligence-based chatbots. However, there is little knowledge about how artificial intelligence could be used in nursing practice.
In this study, we aimed to discover whether nurses' answers to nursing-related questions differ from those generated by artificial intelligence.
A qualitative consensus group research design was used in this study. We conducted a Delphi study in three different rounds. For the first round, the instrument included 57 questions derived from 10 national nursing expert standards. In the second round, the nurses and ChatGPT were asked to rate the answers from the first round in order of relevance to everyday nursing. The third round included writing an assessment and a nursing handover based on two vignettes.
The study showed significant differences between the answers given by the group of nurses and those given by ChatGPT in all main categories. The results of the third round indicate that the answers from the nurses and ChatGPT did not differ, except for answers assigned to two categories.
Our results indicate that ChatGPT generates answers that are comparable to those given by nurses. We assume that ChatGPT could be an enrichment at the beginning of the nursing process by summarizing and categorizing patient information. Furthermore, it could be helpful for nurses in the care planning phase. Given ChatGPT's ability to communicate in different languages, it might be a possible intervention for overcoming language barriers.
2022年11月开源平台ChatGPT的发布引发了人们对基于人工智能的聊天机器人可能性的极大兴趣。然而，对于如何在护理实践中使用人工智能，人们知之甚少。
在本研究中，我们旨在发现护士对护理相关问题的回答是否与人工智能生成的回答不同。
本研究采用定性共识小组研究设计。我们进行了三轮不同的德尔菲研究。第一轮，该工具包括从10项国家护理专家标准中衍生出的57个问题。第二轮，要求护士和ChatGPT根据与日常护理的相关性对第一轮的答案进行评分。第三轮包括根据两个案例编写一份评估报告和一份护理交接班报告。
研究表明，护士组给出的答案与ChatGPT给出的答案在所有主要类别上均存在显著差异。第三轮的结果表明，除了分配到两个类别的答案外，护士和ChatGPT的答案没有差异。
我们的结果表明，ChatGPT生成的答案与护士给出的答案相当。我们认为，ChatGPT可以通过对患者信息进行总结和分类，在护理过程开始时起到丰富作用。此外，它在护理计划阶段可能对护士有所帮助。鉴于ChatGPT具备用不同语言交流的能力，它可能是克服语言障碍的一种可行干预措施。
