İnam Özen, Okay Samet
Maltepe University Medical Services and Techniques Department, İstanbul, Türkiye.
BMC Nurs. 2025 Apr 1;24(1):359. doi: 10.1186/s12912-025-03025-9.
This study aims to evaluate nurses' perspectives on the design of nurse assistant robots that can be utilized in obstetrics and neonatal units. The research examines the potential of these robots in enhancing the quality of patient care, reducing workload, and standardizing care processes from the nurses' perspective.
The study was conducted with 52 nurses working in obstetrics and neonatal units of hospitals. Conjoint analysis was used to evaluate preferences for the features of nurse assistant robots while qualitative data were obtained through semi-structured questions. The Artificial Intelligence Anxiety Scale was used to measure nurses' concerns.
Quantitative analysis results indicate that nurses prioritize features such as sterilization, data transfer, alarm systems, precision, and autonomous navigation in nurse assistant robots. Qualitative analysis findings reveal positive perceptions regarding the robots' potential to reduce error rates, enhance patient safety, and alleviate workload. However, concerns about technological dependency, sterilization issues, and potential job displacement were also expressed. Furthermore, technological/systematic issues and lack of communication/empathy were identified as disadvantages of nurse assistant robots. Considering the sensitive nature of obstetrics and neonatal units, it was suggested that these robots should primarily focus on vital sign monitoring and material preparation tasks. The findings from the Artificial Intelligence Anxiety Scale indicate that participants exhibit moderate-to-high levels of general anxiety (87.6). Specifically, the Socio-Technical Blindness and Job Transition subscales scored higher compared to other dimensions (r = -0.35, p < 0.01).
The findings emphasize that features such as sterilization, data transfer, safety sensors, and user-friendly guidance systems should be prioritized in the design of nurse assistant robots. Moreover, experience and training were found to positively influence technological adaptation. The results provide valuable insights into the design and integration of nurse assistant robots into healthcare services. This study offers both theoretical and practical guidance for the development of nurse assistant robots.
Not applicable.
本研究旨在评估护士对可用于产科和新生儿病房的护士辅助机器人设计的看法。该研究从护士的角度考察了这些机器人在提高患者护理质量、减轻工作量和规范护理流程方面的潜力。
该研究对在医院产科和新生儿病房工作的52名护士进行。采用联合分析来评估护士对辅助机器人功能的偏好，同时通过半结构化问题获取定性数据。使用人工智能焦虑量表来衡量护士的担忧。
定量分析结果表明，护士将消毒、数据传输、警报系统、精度和自主导航等功能列为护士辅助机器人的优先考虑因素。定性分析结果显示，护士对机器人降低错误率、提高患者安全性和减轻工作量的潜力持积极看法。然而，他们也表达了对技术依赖、消毒问题和潜在工作岗位替代的担忧。此外，技术/系统问题以及缺乏沟通/同理心被认为是护士辅助机器人的缺点。考虑到产科和新生儿病房的敏感性，建议这些机器人应主要专注于生命体征监测和物资准备任务。人工智能焦虑量表的结果表明，参与者表现出中度至高度的总体焦虑（87.6）。具体而言，社会技术盲目性和工作转换子量表的得分高于其他维度（r = -0.35，p < 0.01）。
研究结果强调，在护士辅助机器人的设计中应优先考虑消毒、数据传输、安全传感器和用户友好的引导系统等功能。此外，经验和培训被发现对技术适应有积极影响。这些结果为护士辅助机器人的设计和融入医疗服务提供了有价值的见解。本研究为护士辅助机器人的开发提供了理论和实践指导。
不适用。
