1.Current status and prospects of critical care nursing robots
Lixue ZHOU ; Shuojin FU ; Luwei WANG ; Shuai JIN ; Yanling WANG ; Gexin XIAO ; Qian XIAO
Chinese Journal of Modern Nursing 2025;31(19):2540-2545
With the advancement of science and technology and the increasing care needs of critically ill patients, critical care nursing robots have developed rapidly. This paper provides an overview of the current applications of nursing robots in intensive care settings, including assessment and monitoring, routine care, rehabilitative care, emotional assistance, remote care, and multifunctional integration. Furthermore, the challenges associated with the implementation of critical care nursing robots and future development directions are discussed, aiming to provide a reference for the optimization and practical application of such technologies.
2.Current status and prospects of critical care nursing robots
Lixue ZHOU ; Shuojin FU ; Luwei WANG ; Shuai JIN ; Yanling WANG ; Gexin XIAO ; Qian XIAO
Chinese Journal of Modern Nursing 2025;31(19):2540-2545
With the advancement of science and technology and the increasing care needs of critically ill patients, critical care nursing robots have developed rapidly. This paper provides an overview of the current applications of nursing robots in intensive care settings, including assessment and monitoring, routine care, rehabilitative care, emotional assistance, remote care, and multifunctional integration. Furthermore, the challenges associated with the implementation of critical care nursing robots and future development directions are discussed, aiming to provide a reference for the optimization and practical application of such technologies.
3.Development and acceptance of a virtual reality system for rehabilitation training of swallowing disorders in stroke patients
Shuojin FU ; Kaisheng DONG ; Xueli GAO ; Yanling WANG ; Qian XIAO
Chinese Journal of Modern Nursing 2023;29(18):2421-2426
Objective:To design and develop a swallowing function training system suitable for stroke patients with swallowing disorders, and investigate patients' acceptance of the system based on sufficient experience.Methods:This system was jointly designed by a multidisciplinary team, targeting stroke patients with swallowing disorders. By combining virtual reality (VR) technology, it achieved visual and interesting knowledge guidance, systematic and targeted swallowing function training, and real-time, feedback based on supervision and review. From March to May 2022, convenience sampling was used to select 39 stroke patients with swallowing disorders from Beijing Chaoyang Hospital affiliated with Capital Medical University. On the basis of fully experiencing the system, the system was evaluated from seven dimensions, including perceived usefulness, perceived ease of use, perceived ease of learning, perceived applicability, perceived security, perceived satisfaction, and intention to use.Results:The acceptance evaluation score of the rehabilitation training system for 39 stroke patients with swallowing disorders was 162 (147, 170). There were statistically significant differences in the acceptance evaluation scores of the rehabilitation training system for patients with different levels of education, job types, cumulative time spent using smartphones every day, and willingness to learn swallowing training, whether they understood VR devices or technologies, and whether they considered swallowing training important ( P<0.05) . Conclusions:This system benefits from the visualization effect and a good sense of immersion of VR technology. Compared to traditional methods, it increases the fun, immersion, and feedback of the rehabilitation training process, and patients have a high acceptance of the system, which can be promoted and used.

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