Factors associated with intention to use generative artificial intelligence in nursing practice: a cross-sectional...

Area of Science:

• Nursing Informatics
• Healthcare Technology Adoption
• Artificial Intelligence in Healthcare

Background:

• Generative Artificial Intelligence (GAI) offers potential support for healthcare professionals, yet understanding its adoption in nursing practice remains limited.
• A gap exists in comprehending how nurses intend to integrate and utilize GAI tools within their professional workflows.

Purpose of the Study:

• To identify nurses' intention to adopt GAI in their practice.
• To explore the specific areas where GAI is applied by nurses.
• To determine the key factors influencing nurses' intention to use GAI.

Main Methods:

• A cross-sectional online survey was administered to 176 nurses at a tertiary hospital in Seoul, Korea.
• The survey assessed nurses' intention to use GAI, collecting data between March 17-28, 2025.
• Statistical analyses included descriptive statistics, Mann-Whitney U, Kruskal-Wallis H, correlation, and multiple regression analyses.

Main Results:

• 38.6% of nurses had prior GAI experience, mainly in educational material development and data analysis.
• Voluntariness (β=0.358), performance expectancy (β=0.344), and GAI literacy (β=0.192) significantly correlated with intention to use GAI.
• Prior GAI experience, effort expectancy, social influence, facilitating conditions, and perceived risk did not show significant associations with usage intention.

Conclusions:

• Voluntariness, performance expectancy, and GAI literacy are critical determinants of GAI adoption intention among nurses.
• The influence of these factors is moderated by nurses' prior GAI experience, necessitating customized adoption strategies.
• Further research should evaluate the long-term impact and value of GAI integration in nursing practice.