International Journal of Clinical Case Reports, 2025, Vol.15, No.6, 248-258 http://medscipublisher.com/index.php/ijccr 255 resources (Wang et al., 2024; Choi et al., 2025). Practice has proved that this system can shorten the response time of nurses, improve nursing efficiency and patient satisfaction (Wang et al., 2024). The combination of AI and robots can also automate daily tasks such as dispensing medicine, allowing nurses to devote more energy to complex diagnosis and treatment judgments and humanistic care for patients (Zhou et al., 2025). Human-machine collaboration is an important development direction. In this mode, the role of artificial intelligence and robots is to assist nurses in their work rather than replace their professional judgment and humanistic care (Zhou et al., 2025). The system design must revolve around user needs, ensure a close integration of technology and clinical processes, and embody the patient-centered nursing concept. Long-term interdisciplinary cooperation, policy support and effect evaluation are crucial for giving full play to its role in improving patient safety and the quality of care (Hassanein et al., 2025). 8 Concluding Remarks Intelligent nursing systems such as RFID, electronic medical records, and Internet of Things platforms have played a significant role in strengthening the safety management of inpatients. They can simplify the workflow, significantly reduce medication errors, keep track of patients' conditions at any time, quickly solve problems, and thereby effectively lower the risk of adverse events. Automation and digitalization not only make medical records more standardized, but also enhance team communication efficiency, while providing reliable assistance for scientific decision-making and clarifying security responsibilities. The use of intelligent nursing systems is particularly important for the overall improvement of medical service levels. These systems can alleviate the paperwork pressure on medical staff, support timely intervention, improve treatment outcomes and patient experience, and enable nurses to have more time to directly care for patients. Combining the concept of system management with nursing management can help form a more forward-looking management approach in patient safety and resource allocation, and assist medical institutions in consistently providing high-quality services to patients in complex environments. The intelligent nursing system is not without its drawbacks. For instance, different systems cannot cooperate with each other, the training of medical staff has not kept up, and the workflow also needs to be re-planned. In the future, we should pay attention to its long-term effects in various clinical scenarios, promote standardized use, and also conduct a comprehensive analysis of its economic cost and technical feasibility. To enable it to play a broader and more lasting role, it requires the joint efforts of medical service personnel, technical researchers and policymakers to ensure that the relevant projects can be easily implemented and gradually promoted, and also to meet the needs of frontline medical staff. Only through continuous investment and innovation can it fully play its role, thereby enhancing the safety guarantee level for inpatients and the quality of medical services. Acknowledgments The author extends sincere thanks to Mr. Wang for his feedback on the manuscript. Conflict of Interest Disclosure The author affirms that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Abugabah A., Smadi A., and Houghton L., 2023, RFID in health care: a review of the real-world application in hospitals, Procedia Computer Science, 220; 8-15. https://doi.org/10.1016/j.procs.2023.03.004 Adeniyi A., Arowoogun J., Chidi R., Okolo C., and Babawarun O., 2024, The impact of electronic health records on patient care and outcomes: a comprehensive review, World Journal of Advanced Research and Reviews, 21(2): 1446-1455. https://doi.org/10.30574/wjarr.2024.21.2.0592 Alqaraleh M., Almagharbeh W., and Ahmad M., 2025, Exploring the impact of artificial intelligence integration on medication error reduction: a nursing perspective, Nurse Education In Practice, 86: 104438. https://doi.org/10.1016/j.nepr.2025.104438
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