Yizhuotong, the intelligent safety management platform of hospitals measures and controls the operation data and environmental factors of the equipment and facilities in a three-dimensional way. Through real-time data collection, dynamic analysis, and complex calculation, it can recognize the potential fault and issue an early alert in a visualized scenario, and quickly locate the fault equipment and fault parts. According to the fault level and personnel hierarchy respectively, it provides multiple methods of hierarchical alerts, such as APP notification, SMS, and telephone. The platform uses big data technology to effectively predict the hidden dangers of equipment failures, to achieve predictive maintenance of each equipment and key accessories, reduce safety accidents, extend the service life of the equipment, and achieve the full life cycle intelligent management of equipment and facilities in a precise, visual and intelligent way.

The hospital safety comprehensive service management platform establishes a "one-stop dispatching center" to achieve the closed-loop management of clinical repair application, work order execution, service tracking, and service evaluation, supporting repair application in various forms such as text, picture, and voice, realize the standardization, refinement, and digitization of hospital logistics services, improve the quality of hospital logistics services and reduce hospital operating costs. When the equipment/energy consumption/system fails, utilizing the maintenance and inspection tracking mechanism of the integrated service management platform, and data integration of equipment archives, equipment maintenance information, equipment inspection defect management records, equipment early warning, alarm records enables scientific scheduling and smart operation and maintenance to improve hospital management with high efficiency and quality.

Yizhuotong hospital safety and equipment energy intelligent management platform aims at safe operation, energy-saving, and high efficiency. It collects equipment operation data and water, electricity, gas, heating, and other energy consumption data of hospital buildings in real-time for real-time calculation of consumption data, historical data mining, correlation analysis, and other big data analysis to achieve precise energy-saving management and control of air-conditioning, lighting, street lamps, and important equipment in the hospital. Provide users with integrated solutions such as energy diagnosis and analysis, energy-saving technology transformation, energy-saving housekeeping, and mechanical and electrical operation and maintenance trusteeship. Through the linkage analysis of energy consumption trends and equipment data, recognize hidden dangers of equipment failures, perform predictive maintenance, reduce the incidence of failures, reduce energy consumption, and comprehensively improve hospital safety performance and energy-saving benefits.