International Journal of Clinical Case Reports, 2025, Vol.15, No.6, 248-258 http://medscipublisher.com/index.php/ijccr 249 on nursing workflows and safety concepts, laying the foundation for their better integration into medical safety programs. 2 Concept and Composition of Intelligent Nursing System 2.1 Definition and core principles of the intelligent nursing system The intelligent nursing system, integrating advanced digital technology, aims to enhance the quality, safety and efficiency of nursing work. Its core is not simply to digitize the workflow, but to build an interconnected system architecture that can continuously collect data from various channels (such as monitoring devices, electronic medical records, sensors, etc.), thereby assisting doctors in making clinical judgments and coordinating nursing work (Zhao et al., 2021). The system design is mainly based on four principles: interoperability, automation, personalization and security. Interoperability enables data transmission between different devices and platforms, which is fundamental for doing a good job in full-process management (Wang et al., 2024). Automation can significantly reduce repetitive manual operations, thereby lowering the probability of errors and allowing caregivers to focus more on directly caring for patients (Zhao et al., 2021; Vasquez et al., 2023). Personalization is to formulate exclusive intervention plans for patients through intelligent algorithms and promote the patient-centered active care model (Guo et al., 2025). Meanwhile, perfect data security measures are also crucial for protecting health information and maintaining doctor-patient trust (Lou, 2025). 2.2 Key supporting technologies Radio Frequency Identification (RFID) can confirm the identity and location of patients in real time, reduce identity confirmation errors and make work more efficient (Zhao et al., 2021). electronic medical records (EMR, full name electronic medical records) is the information core, uniformly managing various types of data of patients and facilitating internal communication and cooperation within the team (Hants et al., 2023). The Internet of Things (IoT) can connect various sensors and devices to continuously monitor patients' physical indicators and the surrounding environment, providing a reference for timely nursing intervention (Wang et al., 2024). Artificial intelligence (AI) and machine learning algorithms further empower the system and enhance decision support and predictive analysis capabilities (Van Velzen et al., 2023). For example, clinical decision support systems can recommend intervention measures based on evidence-based evidence and warn of potential risks. The deep integration of the above-mentioned technologies has jointly constructed a collaborative intelligent nursing ecosystem (Zhao et al., 2021; Wang et al., 2024). 2.3 Basic system modules At the implementation level, the system typically covers core modules such as data collection, information integration and decision support. The data acquisition module acquires real-time information from multiple channels such as monitoring equipment, sensors and manual entry (Zhao et al., 2021), and its reliability directly affects the effect of early identification of clinical risks. The information integration module is the "central link" of the system. It collects data from different places through unified standards to ensure that all parts of the system can be interconnected (Wang et al., 2024), and then these data were integrated into complete patient medical records to facilitate cooperation among different professional teams (Zhao et al., 2021; Hants et al., 2023). The decision support module, with the aid of artificial intelligence and medical norms, helps nursing staff assess risks, arrange nursing work, and ensure patient safety through real-time alerts and handling methods. 3 Application of RFID Technology in Hospital Safety Management 3.1 Characteristics of RFID and its advantages in clinical nursing Radio Frequency Identification (RFID) is an automatic identification technology that can read and transmit data through radio waves without direct contact. This system generally includes labels attached to items (such as patients, medicines or medical devices), readers for reading the labels, as well as databases and intermediate
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