Objective: To investigate the current cognitive status and training needs of cardiovascular specialty nursing staff regarding generative artificial intelligence (AI-generated content, AIGC) technology, providing a reference basis for the application of AIGC in cardiovascular nursing and the development of relevant training programs.
Methods: A convenience sampling approach was employed to select cardiovascular nursing professionals from five tertiary grade A hospitals in Fujian, Shanxi, and Guangdong provinces. An online survey using a self-designed general information questionnaire was conducted.
Results: A total of 202 questionnaires were distributed. The findings revealed that cardiovascular nursing staff demonstrated a primary-level understanding of AIGC technology, yet maintained a positive attitude toward its clinical application (77.72%). Staff prioritized the potential of AIGC to enhance work efficiency (42.08%) and reduce workloads (21.78%), while also highlighting challenges related to technological reliability and accuracy (40.59%). Over three-quarters of the respondents expressed a strong demand for systematic training to improve their competence in applying AIGC technology.
Conclusion: This study provides evidence-based insights for clinical nursing training programs and the practical implementation of AIGC technology. Healthcare institutions are recommended to develop targeted training strategies to enhance nurses' technological literacy and optimize the integration of AIGC into cardiovascular care.