Advances in the Application of Information Technology in Emergency Nursing Management

Abstract

Objective: To systematically review the research progress on the application of information technology in emergency nursing management over the past three years. Methods: PubMed, Wanfang, and CNKI databases were searched to retrieve original studies published between 2023 and 2026 on the application of mobile nursing systems, radio frequency identification (RFID), the Internet of Things (IoT), artificial intelligence (AI), and related technologies in emergency nursing management. Data were summarized from the perspectives of human resource scheduling, material traceability management, patient process optimization, quality monitoring and early warning, and clinical decision support. Results: Information technology has been deeply embedded in the entire process of emergency nursing management. In human resources, AI and optimization algorithms have been used for intelligent scheduling and workload prediction. In material management, RFID and IoT technologies have effectively shortened the time needed for emergency supply inventory and equipment location. In patient processes, AI‑assisted triage has improved accuracy and efficiency. In quality control, nursing‑sensitive indicator monitoring systems have been integrated into the national quality control indicator framework. In clinical decision support, knowledge‑based systems provide auxiliary value. 5G and IoT technologies are promoting pre‑hospital and in‑hospital emergency integration. Conclusion: Information technology significantly improves the efficiency and safety of emergency nursing management, but still faces bottlenecks such as information silos and insufficient evidence quality. Future efforts should focus on clinical utility validation of AI decision support systems, construction of whole‑process closed‑loop management systems, and implementation science‑based translational research.