Speakers - WNRC2026

Abstract

Aims: Nursing informatics, as an emerging discipline, faces challenges such as the fragmented distribution of knowledge resources and insufficient systematic integration in nursing education. This study aims to construct a knowledge base to empower a large language model in developing an intelligent Q&A system for nursing informatics. This system will assist students in acquiring, managing, and applying professional knowledge, thereby contributing to the digital transformation of nursing education.

Methods: The data were sourced from three literature databases and 17 professional association websites. Web scraper technology was used to collect information on nursing informatics-related research papers, news, conferences, research updates, and educational training published in the past five years, ensuring the knowledge base remains cutting-edge and scientifically accurate. Based on the fastGPT platform, a nursing informatics intelligent Q&A system was created to enhance the general large language model with a specialized knowledge base. The application of the intelligent Q&A system was evaluated through experimental testing, questionnaires, and semi-structured interviews.

Results: Experimental test results showed that compared to DeepSeek-V3, the nursing informatics intelligent question-answering system improved answer accuracy by 15.39% and semantic similarity by 3.08%. From April to May 2025, 30 students were recruited to evaluate the system’s usability. Students expressed a positive attitude and consistent opinions regarding interface clarity, system ease of use, answer accuracy, and reliability, with an average satisfaction score of 4.33±0.48. Interviews with some students indicated that the system improved the efficiency of knowledge acquisition and helped them better understand nursing informatics research trends and exchange academic information. However, there is still room for improvement in the knowledge base content and system functionality.

Conclusions: This study addresses the challenges of fragmented learning resources and insufficient knowledge systematization in nursing informatics courses by constructing a nursing informatics knowledge base and designing an intelligent Q&A system, providing students with professional and accurate knowledge support.