Smart Healthcare

Assisting in the Intelligent Upgrade of Hospital Infection Prevention and Control

The intra-hospital infection control is carried out through the use of robots, which integrate three disinfection methods: ultraviolet (UV) light, ultra-dry hydrogen peroxide mist, and air filtration. These robots are equipped with autonomous navigation technology and are capable of autonomous movement. They can be configured to operate in different disinfection modes according to specific scenarios, ensuring fully automated and intelligent operation while maintaining a safe separation between humans and the robot. This system meets the requirements for automatic, scheduled, efficient, and precise disinfection and epidemic prevention in indoor environments with multiple rooms or complex layouts. It caters to various disinfection scenarios in hospitals and serves as an excellent choice for promoting modernization and enhancing infection control management in healthcare facilities.


Highlights of the Solution

  1. Intelligent Multi-Function Disinfection

The intelligent disinfection robot integrates multiple disinfection methods and quantifies the disinfection process, thereby enhancing the prevention and control of infections within the hospital. It reduces medical disputes and ensures patient safety.


  1. Ensuring Medical Safety

The intelligent disinfection robot can automatically calculate the disinfection time based on the spatial area and perform 360° no-dead-angle disinfection around the target area. With fully intelligent operation and separation between humans and the robot, it guarantees the safety of personnel. This, in turn, ensures medical quality and enhances healthcare standards.


  1. Convenient and Traceable Operations

For routine disinfection tasks, settings such as disinfection mode, time, and location can be configured through the backend system. Once the robot receives a task, it autonomously plans its route to the specified location and carries out disinfection according to the set mode. Upon completion of the disinfection task, the robot autonomously returns to its charging point.


  1. Data Integration and Sharing:

The data center backend facilitates information exchange between various departments, improving the efficiency of infection control information sharing. Data analysis can uncover weak links in infection control, aiding in continuous improvement of infection control strategies and processes.

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