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Abstract Aim This study explores the influencing factors of attitudes and behaviors toward use of ChatGPT based on the Technology Acceptance Model among registered nurses in Taiwan. Background The complexity of medical services and nursing shortages increases workloads. ChatGPT swiftly answers medical questions, provides clinical guidelines, and assists with patient information management, thereby improving nursing efficiency. Introduction To facilitate the development of effective ChatGPT training programs, it is essential to examine registered nurses’ attitudes toward and utilization of ChatGPT across diverse workplace settings. Methods An anonymous online survey was used to collect data from over 1000 registered nurses recruited through social media platforms between November 2023 and January 2024. Descriptive statistics and multiple linear regression analyses were conducted for data analysis. Results Among respondents, some were unfamiliar with ChatGPT, while others had used it before, with higher usage among males, higher‐educated individuals, experienced nurses, and supervisors. Gender and work settings influenced perceived risks, and those familiar with ChatGPT recognized its social impact. Perceived risk and usefulness significantly influenced its adoption. Discussion Nurse attitudes to ChatGPT vary based on gender, education, experience, and role. Positive perceptions emphasize its usefulness, while risk concerns affect adoption. The insignificant role of perceived ease of use highlights ChatGPT's user‐friendly nature. Conclusion Over half of the surveyed nurses had used or were familiar with ChatGPT and showed positive attitudes toward its use. Establishing rigorous guidelines to enhance their interaction with ChatGPT is crucial for future training. Implications for nursing and health policy Nurse managers should understand registered nurses’ attitudes toward ChatGPT and integrate it into in‐service education with tailored support and training, including appropriate prompt formulation and advanced decision‐making, to prevent misuse.
Lin et al. (Tue,) studied this question.