International Journal of Clinical Case Reports, 2025, Vol.15, No.6, 248-258 http://medscipublisher.com/index.php/ijccr 248 Systematic Review Open Access A Review of the Application of Smart Nursing Systems in Inpatient Safety Management JieWang Zhuji People’s Hospital, Zhuji, 311800, Zhejiang, China Corresponding email: 2308763906@qq.com International Journal of Clinical Case Reports 2025, Vol.15, No.6 doi: 10.5376/ijccr.2025.15.0026 Received: 17 Aug., 2025 Accepted: 22 Sep., 2025 Published: 11 Nov., 2025 Copyright © 2025 Wang, This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Preferred citation for this article: Wang J., 2025, A review of the application of smart nursing systems in inpatient safety management, International Journal of Clinical Case Reports, 15(6): 248-258 (doi: 10.5376/ijccr.2025.15.0026) Abstract This study investigated the actual application of the intelligent nursing system in the safety management of inpatients, sorted out the problems existing in the safety management of inpatients, and also analyzed the role of this system in improving the quality of nursing services, ensuring patient safety, and making work more efficient. This study also analyzed the main components of the intelligent nursing system. When promoting the intelligent nursing system, we still encounter many difficulties. This requires us to address them from the perspectives of unifying relevant standards, strengthening personnel training, and promoting collaboration among departments. This study explores the future development trends of artificial intelligence, mobile nursing, wearable devices, smart wards, etc. Continuous innovation and the implementation of relevant systems are precisely important methods to constantly enhance the safety guarantee capacity for inpatients. The intelligent nursing system, through automatic operation, data integration and immediate feedback, provides a solid support for creating a safer, more efficient and patient-centered inpatient care environment. Keywords Smart nursing systems; RFID technology; Electronic medical records; Inpatient safety management; Patient safety 1 Introduction A long-term challenge that the global healthcare system has to address is ensuring the safety of inpatients. Relevant studies show that 8% to 12% of hospitalized patients will encounter medical-related adverse situations, and in developing countries, this risk is even higher. Nurses are frontline personnel who prevent medical errors and safeguard the interests of patients. However, the traditional paper-based record-keeping and manual operation mode cannot effectively solve the current problems, often resulting in low efficiency, poor communication, and inability to obtain data in a timely manner (Douma et al., 2024; Naamneh and Bodas, 2024). Nowadays, intelligent medical systems are developing rapidly. They apply technologies such as radio frequency Identification (RFID), electronic medical Records (EMR), Internet of Things (IoT), and artificial intelligence, aiming to achieve real-time monitoring, automatic data collection, and make clinical operations more traceable (Abugabah et al., 2023). For instance, RFID technology can accurately identify patients' identities and record their medication usage, reducing adverse events caused by incorrect identity recognition and incorrect medication delivery (Omran and Salman, 2024). The EMR system can make nursing records more accurate and faster, facilitate team communication, and provide support for scientific nursing (Douma et al., 2024; Omran and Salman, 2024). In addition, the intelligent infusion pump and artificial intelligence-assisted judgment function can reduce manual input errors and alert risks in a timely manner (Alqaraleh et al., 2025). When these technologies work together, they can reduce human errors, help warn of risks, and rationally allocate resources, opening up a new path for the safety management of inpatients. This study will investigate the current status of intelligent nursing systems and their practical application in the safety management of inpatients, with a focus on the two technologies of RFID and EMR. The research will combine the latest practical research data and systematic analysis conclusions to clarify the core principles of these technologies in protecting patient safety, analyze their main advantages and disadvantages in clinical work, and identify unsolved problems and research gaps. This study aims to illustrate the impact of intelligent systems
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