Study on the Development of an Intelligent Regional Health Security Monitoring and Emergency Medical Response System in Less Developed Regions

Less developed regions face challenges such as uneven distribution of medical resources, lagging informatization, and insufficient regional synergistic capacity in response to public health emergencies and critical care treatment. Therefore, this study proposes an intelligent regional health and safety monitoring and emergency treatment system, which combines the Internet of Things, big data, cloud computing, and artificial intelligence technologies to realize cross-regional medical resource scheduling, ICU bed management, telemedicine consultation, intelligent first aid scheduling, and infectious disease early warning. This paper first provides a systematic literature review of the development of the global infectious disease early warning system (EWS) and regional collaborative treatment (RCT) model and analyzes the challenges in the construction of infectious disease prevention and control and emergency care systems in less developed regions. Subsequently, a framework for designing a regional collaborative healthcare and emergency management system adapted to the needs of less developed regions is designed for Ganzhou, Jiangxi, China, and key components and innovations are described. Finally, the feasibility of the system is analyzed from four dimensions: technology, economy, society, and policy, and a low-cost and intelligent regional medical collaboration solution is proposed. This study can provide theoretical support and practical reference for the construction of public health management and medical emergency response systems in less developed regions.