Tarsuslu Sinan, Agaoglu Ferhat Onur, Bas Murat
Health Services School, Erzincan Binali Yildirim University, Erzincan, Turkey.
Department of Health Management, Erzincan Binali Yildirim University, Erzincan, Turkey.
J Nurs Scholarsh. 2025 Jan;57(1):28-38. doi: 10.1111/jnu.13008. Epub 2024 Jul 31.
The lack of artificial intelligence applications in nursing education and the nursing profession in Turkey and the need for strategies for integrating artificial intelligence into the nursing profession continues. At this point, there is a need to transform the negative attitudes and anxiety that may occur in nurses.
It was aimed to reorganize the professional transformation in this parallel by analyzing the effect of digital leadership perception, which is explained as how nurses approach digital technologies and innovations and their awareness of how and with which methods they can use these technologies on artificial intelligence anxiety and attitude in the nursing profession.
The study was designed as descriptive, correlational, and cross-sectional.
The research was conducted by reaching 439 nurses working in hospitals operating in three different regions of Turkey by simple random sampling method.
In the first part of the data collection tool used in this study, digital leadership scale, artificial intelligence use anxiety, and artificial intelligence attitude scales were used, including questions determining the demographic information of nurses, their relationship with technology, artificial intelligence usage status and its importance in the profession.
It was determined that 29.8% of the nurses had a good relationship with technology, 66.3% knew about using artificial intelligence in health, and 27.3% wanted it to be more involved in their lives. It was determined that nurses' perceptions of digital leadership were at a medium level of 46.9% and a high level of 41.7%, 82.7% had a positive attitude towards artificial intelligence, and 82.7% had low or medium level anxiety when their artificial intelligence anxiety status was examined. There was a significant and negative relationship between digital leadership and AI anxiety (r = -0.434; p < 0.01), a significant and positive relationship between digital leadership and AI attitude (r = 0.468; p < 0.01), and a significant and negative relationship between AI attitude and AI anxiety (r = -0.629; p < 0.01). Finally, it was determined that nurses' perception of digital leadership indirectly affected AI anxiety through AI attitude (β = -0.230, 95% CI [-0.298, -0.165]).
It is suggested that the anxiety and attitude towards artificial intelligence can be transformed positively with the effect of digital leadership, and in this parallel, the digital leadership phenomenon should be evaluated as a practical implementation strategy in integrating artificial intelligence into the nursing profession.
Our study showed that artificial intelligence attitude has a mediating role in the indirect effect of the perception of digital leadership in nursing on AI anxiety. It was determined that nurses' digital leadership perception, artificial intelligence anxiety, and artificial intelligence attitude differed significantly with demographic variables.
土耳其护理教育和护理行业缺乏人工智能应用，将人工智能融入护理行业的策略需求依然存在。在这一点上，有必要转变护士可能出现的消极态度和焦虑情绪。
通过分析数字领导力认知的影响来并行重组专业转型，数字领导力认知被解释为护士如何看待数字技术和创新，以及他们对如何使用这些技术以及使用哪些方法在护理行业中应用人工智能的认知，进而了解其对人工智能焦虑和态度的影响。
该研究设计为描述性、相关性和横断面研究。
通过简单随机抽样方法，对在土耳其三个不同地区运营的医院工作的439名护士进行了研究。
在本研究使用的数据收集工具的第一部分，使用了数字领导力量表、人工智能使用焦虑量表和人工智能态度量表，包括确定护士人口统计学信息、他们与技术的关系、人工智能使用状况及其在行业中的重要性的问题。
确定29.8%的护士与技术关系良好，66.3%知道在医疗保健中使用人工智能，27.3%希望人工智能更多地融入他们的生活。确定护士对数字领导力的认知处于中等水平的占46.9%，高水平的占41.7%，82.7%对人工智能持积极态度，在检查人工智能焦虑状况时，82.7%的人焦虑程度为低或中等。数字领导力与人工智能焦虑之间存在显著负相关（r = -0.434；p < 0.01），数字领导力与人工智能态度之间存在显著正相关（r = 0.468；p < 0.01），人工智能态度与人工智能焦虑之间存在显著负相关（r = -0.629；p < 0.01）。最后，确定护士对数字领导力的认知通过人工智能态度间接影响人工智能焦虑（β = -0.230，95% CI [-0.298，-0.165]）。
建议数字领导力的影响可以积极转变对人工智能的焦虑和态度，在此并行过程中，数字领导力现象应作为将人工智能融入护理行业的一种实际实施策略进行评估。
我们的研究表明，人工智能态度在护理中数字领导力认知对人工智能焦虑的间接影响中起中介作用。确定护士的数字领导力认知、人工智能焦虑和人工智能态度在人口统计学变量上存在显著差异。
