Boyacı Hafize, Söyük Selma
Fikret Biyal Central Research Laboratory, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Türkiye.
Department of Health Management, Faculty of Health Sciences, Istanbul University-Cerrahpasa, Istanbul, Türkiye.
BMC Health Serv Res. 2025 Jun 8;25(1):813. doi: 10.1186/s12913-025-12846-y.
The aim of the study is to measure the readiness levels of medical artificial intelligence and the perception of openness to organizational change of healthcare professionals working in a university hospital in Istanbul. Additionally, the study seeks to identify the relationships between medical AI readiness and perceptions of organizational change openness, as well as to examine differences based on demographic variables.
The research was conducted with 195 healthcare workers. The research is a cross-sectional descriptive quantitative research. The construct validity of the scales was checked using statistical analysis.
As a result of the research, it was determined that healthcare workers' are prepared for the use of medical artificial intelligence in healthcare institutions and perceive organizational change positively. A significant but low-level positive relationship was found between healthcare workers' level of readiness for medical artificial intelligence and their perception of openness to organizational change. The level of readiness for medical artificial intelligence among healthcare workers' was found to be high among males, doctors and internal sciences, while the perception of openness to organizational change was found to be high among postgraduate/doctoral graduates, surgical sciences, nurses.
The study determined that healthcare workers' are ready to use medical artificial intelligence and perceive organizational change positively. The study contributes to the formation of the institution's healthcare policies and practices and to the development, well-being and change of healthcare workers'. It is recommended that employees be made aware of the benefits of using artificial intelligence in healthcare institutions and that necessary training activities be planned.
本研究旨在衡量医学人工智能的准备程度，以及伊斯坦布尔一家大学医院医护人员对组织变革的接受程度。此外，该研究旨在确定医学人工智能准备程度与组织变革接受度认知之间的关系，并根据人口统计学变量检验差异。
对195名医护人员进行了研究。该研究为横断面描述性定量研究。使用统计分析检查量表的结构效度。
研究结果表明，医护人员已为医疗机构使用医学人工智能做好准备，并对组织变革持积极看法。医护人员对医学人工智能的准备程度与其对组织变革的接受度之间存在显著但低水平的正相关关系。男性、医生和内科的医护人员对医学人工智能的准备程度较高，而研究生/博士毕业生、外科、护士对组织变革的接受度较高。
该研究确定医护人员已准备好使用医学人工智能，并对组织变革持积极看法。该研究有助于制定机构的医疗政策和实践，以及医护人员的发展、福祉和变革。建议让员工了解在医疗机构使用人工智能的好处，并规划必要的培训活动。
