International Journal of Clinical Case Reports, 2025, Vol.15, No.6, 248-258 http://medscipublisher.com/index.php/ijccr 254 trouble of system integration (Qutishat and Shakman, 2025). By building an upgradable modular system framework, smooth system updates can be achieved, and different technologies can also be mutually adapted (Upadhyay et al., 2023). Regular maintenance of the equipment, strengthening of technical support, and active attention to the operation of the system can all make the system more stable to use (Lin et al., 2024; Xu and Li, 2025). In terms of personnel training, it is necessary to strengthen talent reserves, enhance the professional capabilities of medical staff, and offer continuing education courses that combine technical operations with clinical applications. Methods such as simulation practice, colleague mentoring, and the establishment of "nurse leaders" can make everyone more willing to accept the system and more enthusiastic when using it (Khalil et al., 2025). In addition, IT technology is also crucial for promoting the cooperation among the IT department, the nursing department and the management department, so that the application of technology can better meet the actual clinical needs (Katebi et al., 2025). The explicit support from hospital leadership, a clear institutional system, as well as a hospital atmosphere that encourages feedback and continuous improvement, can all further help this system better integrate into clinical work and play a long-term role (Qutishat and Shakman, 2025; Ominyi et al., 2025). 7 The Future Development Trend of Intelligent Nursing System 7.1 In-depth application of smart nursing driven by artificial Intelligence Predictive models developed by artificial intelligence (AI) are advancing rapidly. They can determine whether a patient's condition will worsen, scientifically allocate medical resources, and also assist doctors in making decisions regarding diagnosis and treatment. These models will collect various types of data from electronic medical records and monitoring devices to identify subtle abnormal situations that need to be dealt with as soon as possible. In addition, AI-supported early warning and risk classification tools can make nursing interventions more precise and timely, and help reduce complications (Hassanein et al., 2025; Zhou et al., 2025). AI automatic medical record recording is another key development direction. This type of AI system employs multiple language processing technologies and can record and organize patients' relevant conditions in real time through audio, video and other data, significantly reducing the pressure on nurses to write materials. This automated approach not only makes medical record recording more accurate and standardized, but also helps nurses provide more targeted care for patients and facilitates the sharing of patient information by the medical team (Yadav, 2024; Ju et al., 2025). However, to popularize these technologies, it is necessary to improve relevant ethical norms, continuously promote clinical testing work, and conduct systematic AI knowledge training for nursing staff (Hassanein et al., 2025). 7.2 Integration and promotion of mobile care and wearable devices Wearable devices such as smartwatches and biosensing patches are now being used more and more frequently. They can continuously monitor the vital signs and daily activities of patients (Nasr et al., 2021; Conte et al., 2024). If these devices are used in combination with AI algorithms, early signs of deterioration in patients' conditions can be detected in time, and personalized care can also be provided (Hassanein et al., 2025). Most nurses think this type of equipment is good, but they also have concerns, such as whether the data is accurate, whether it is expensive to use, and whether the equipment is reliable (Alzghaibi, 2025). The mobile medical platform enables smoother communication among the nursing team and makes bedside ward rounds and nursing handows proceed more smoothly (Fotsing et al., 2021). In scenarios such as home care, wearable Internet of Things systems support remote monitoring and early intervention, enabling care services to reach more places (Wang et al., 2024). With the increasing popularity of technology, as long as the problems of data privacy and device compatibility can be solved systematically, their application in inpatient safety management will definitely be more in-depth (Nasr et al., 2021; Alzghaibi, 2025). 7.3 Develop towards fully integrated intelligent wards and human-machine collaboration The fully integrated intelligent ward combines Internet of Things, cloud computing and robot technology to achieve unified management of patient data, automatic adjustment of the environment and intelligent allocation of
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