<scp>ChatGPT</scp> Applications in Nursing: Current Status and Future Perspectives
Wenli Peng, Xinhua Cheng, Ji-Li Deng, Xian Zhang
Abstract
AIM: With the rapid advancement of generative artificial intelligence technologies, natural language processing tools represented by ChatGPT have been increasingly used. This narrative review explored the application, challenges, and future directions of ChatGPT in nursing. DESIGN: Narrative review. METHODS: The searches were conducted in PubMed, Web of Science and Google Scholar. The empirical studies of ChatGPT in nursing were selected and explored. RESULTS: ChatGPT has been integrated into clinical nursing support, nurse education and patient service optimisation, demonstrating potential in improving efficiency and patient outcomes. However, technical limitations, ethical-legal issues and implementation barriers pose challenges to its widespread adoption. In future, technology iteration, standard development and multimodal convergence are needed to promote the construction of trusted artificial intelligence nursing systems. PATIENT OR PUBLIC CONTRIBUTION: This narrative review is based on a secondary analysis of existing literature and does not directly involve patient or public contributions.