Lam Thomas Yuen Tung, Hu Yue, Yi Y, Schulz Peter J, Lwin May O, Kee Kalya M, Goh Wilson W B, Cheung Max F K, Lee H S, Fan Alice S H, Lam Phyllis P Y, Lam S F, Zhou L, Chen Y, Li F, Lau Ying, Wu Jer-Wei, Chiu Han-Mo, Xu H, Sung Joseph J Y
The Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong SAR, China.
Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China.
J Gastroenterol Hepatol. 2025 Sep;40(9):2275-2281. doi: 10.1111/jgh.17042. Epub 2025 Jul 3.
Nurses' participation during colonoscopy has been demonstrated to significantly improve the detection rate of polyps and adenomas. Nonetheless, the adoption of AI in clinical practice still poses challenges. There is limited understanding of the factors influencing gastroenterology nurses' intentions to use AI in clinical practice. We aimed to examine how gastroenterology nurses' intentions to use AI are affected by perceived usefulness, acceptance of this technology, and perceived risk via a moderated mediation model controlling for nurses' characteristics.
A cross-sectional multicenter survey study was conducted among gastroenterology nurses from 54 hospitals in Taiwan, Hong Kong, and mainland China. A total of 337 nurses (mean age 37.40 ± 8.29 years, 81.6% females) completed the survey.
After controlling for previous experience with AI, number of working years, and work role, a statistically significant direct effect of perceived usefulness on use intention was found. The indirect effect of perceived usefulness on use intention through AI technology acceptance was the most robust when perceived risk was at the lowest level.
Findings suggest that perceived usefulness facilitated the intentional use of AI in clinical practice through acceptance of AI, especially when perceived risk was low.
结肠镜检查过程中护士的参与已被证明能显著提高息肉和腺瘤的检出率。尽管如此，人工智能在临床实践中的应用仍面临挑战。对于影响胃肠病学护士在临床实践中使用人工智能意愿的因素，人们的了解有限。我们旨在通过一个控制护士特征的调节中介模型，研究胃肠病学护士使用人工智能的意愿如何受到感知有用性、对该技术的接受程度以及感知风险的影响。
对来自台湾、香港和中国大陆54家医院的胃肠病学护士进行了一项横断面多中心调查研究。共有337名护士（平均年龄37.40±8.29岁，81.6%为女性）完成了调查。
在控制了先前使用人工智能的经验、工作年限和工作角色后，发现感知有用性对使用意愿有统计学上的显著直接影响。当感知风险处于最低水平时，感知有用性通过人工智能技术接受程度对使用意愿的间接影响最为显著。
研究结果表明，感知有用性通过对人工智能的接受促进了其在临床实践中的有意使用，尤其是在感知风险较低时。
