The application of ChatGPT in nursing: a bibliometric and visualized analysis
Author Information
Author(s): Wang Peng, Zhang Qian, Zhang Wenyu, Sun Jing
Primary Institution: Peking Union Medical College Hospital
Hypothesis
This study aims to describe and predict the developmental trajectory of the discipline, identify research hotspots and trends, and provide a comprehensive framework for the integration of ChatGPT in nursing.
Conclusion
ChatGPT is an emerging tool in the nursing field, currently in the foundational research phase.
Supporting Evidence
- A total of 81 articles published by 67 authors were retrieved from the Web of Science Core Collection database.
- The number of published studies has exhibited an increasing trend.
- The 'European Journal of Cardiovascular Nursing' emerged as the most productive journal.
- The USA, the UK, and China were identified as the leading countries in terms of publication output.
- The top 10 keywords identified include artificial intelligence, nursing education, and ChatGPT.
Takeaway
ChatGPT is a new tool that can help nurses do their jobs better, but we still need to learn more about how to use it.
Methodology
The study used bibliometric and visual analyses to evaluate sources, institutions, countries, author collaboration networks, and keywords.
Potential Biases
The reliance on specific databases may introduce potential publication bias.
Limitations
The study is limited to publications included in the Web of Science Core Collection, which may omit relevant literature from other databases.
Digital Object Identifier (DOI)
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