International Journal of Clinical Case Reports, 2025, Vol.15, No.6, 248-258 http://medscipublisher.com/index.php/ijccr 252 5 The Integrated Application of the Intelligent Nursing System in Key Safety Areas 5.1 Strengthen medication safety The combined use of Radio Frequency Identification (RFID) technology and electronic medical Record (EMR) technology has significantly enhanced the medication safety of inpatients. After connecting the medicines with RFID tags, the patients' wristbands and the EMR system, medical staff can automatically verify the patients' identities, types of medicines, dosages and administration times, ensuring that "the right patients receive the right medicines at the right time". The built-in prescription automatic check and reminder function in EMR can mark possible drug interactions, allergic risks or dosage issues before dispensing, thus forming a complete management chain, minimizing the occurrence of errors in manual recording, and leaving traceable digital records for each link (Rangaswamy and Kiran, 2025). Using these two systems in combination not only reduces medication errors but also makes nursing operations more standardized. Nurses no longer need to spend time reading handwritten prescriptions or repeatedly check them manually, thus allowing them to focus more energy on directly caring for patients. The system will automatically record the details of medication, facilitating quick verification and analysis of problems. In addition, by integrating RFID with electronic medical records (EMR), the medical team can share drug information in real time, which is particularly crucial for ensuring the rationality and safety of drug combinations (Rangaswamy and Kiran, 2025). This combined medication management model has become a good way to enhance the safety of drug use in hospitals. 5.2 Prevent patients from falling and related bedside events The intelligent care system, by leveraging intelligent monitoring and artificial intelligence (AI) to predict risks, makes the measures to prevent patients from falling and bedside accidents more effective. This AI-driven system can constantly monitor the patient's movements and the surrounding environment. Once any dangerous situation is detected, inform the medical staff immediately. These systems will also combine various data such as patients' activity levels and vital signs to determine the risk level of each patient at any time and guide medical staff to take timely protective measures (Gervasi et al., 2025; Lo et al., 2025). Compared with traditional assessment tools, AI prediction models have a higher accuracy rate in identifying high-risk patients and can allocate preventive resources more reasonably (Lo et al., 2025; Kasali, 2025). The real-time positioning system, when used in conjunction with the electronic medical record (EMR), can continuously track the patient's location and treatment status, making fall prevention measures more comprehensive (Kim et al., 2025). This approach not only enables timely handling of emergencies but also lays the foundation for formulating personalized care plans. Intelligent monitoring can also relieve the pressure of frequent manual ward rounds for medical staff, allowing them to focus on caring for high-risk patients. The actual application results of several hospitals show that this system can significantly reduce the occurrence of patient falls and related injuries, fully demonstrating its role in improving patient safety and work efficiency (Figure 2) (Gervasi et al., 2025; Kasali, 2025). Figure 2 On the left, a fixed camera monitors patients within the room's field of view and detects their movements (Adopted from Gervasi et al., 2025) Image caption: Anonymized data are processed by an AI system to analyze potentially risky situations and falls that may require notifying the nursing personnel. On the right, a remote mobile device receives and displays alerts sent to the nursing personnel (Adopted from Gervasi et al., 2025)
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