Ping An Insurance, a Chinese insurance company has today announced that Ping An Smart City has won a bid to build a Health Emergency Management Platform in China. The project will be constructed in collaboration with Hubei Province and aims to give Ping An a solid foundation in public health systems management.
The bid, won by Ping An, gave the company the right to construct the platform, officially named the Hubei Provincial Public Health Emergency Command System Project.
What will Ping An’s Public Health Management Platform include?
Ping An and Hubei Province claim that functions of the platform will include smart monitoring, smart alerts, smart prediction, decision-making support, panoramic display of emergency management, and emergency command dispatch. It will also aim to “set a new standard for public health emergency management systems in China”, the companies said.
The smart healthcare team of Ping An Smart City utilises big data, cloud computing, artificial intelligence (AI), and other cutting-edge technologies to transform and upgrade urban public health management platforms so that city managers can track the epidemic conditions in the city in real-time, accurately assess epidemic development trends and improve tracking and deployment of emergency resources.
The challenges of public health emergency management
Public health emergency management is currently facing three major challenges. The first of these is the fact that the early warning capability of current public health monitoring and alert systems is limited by insufficient channels to collect data of direct reports of any infectious diseases. Secondly, with insufficient data, the systems cannot support sophisticated prevention and control decisions or plan even after detecting the emergence of a new disease. The third challenge is to do with the idea that frontline medical institutions, especially those that receive initial patients, lack efficient screening tools, resulting in an inefficient collective response for prevention and control, epidemiological investigation, and other key disease control events.
Ping An's smart healthcare team has created solutions to improve public health emergency management. These are:
- A multi-point and multi-channel surveillance system for public health-related risk factors – It connects to four major channels including hospitals, disease control centres, emergency centres, and nucleic acid test centres.
- An AI-driven alert and prediction system – Real-time data obtained from multiple channels and simulations is used to predict the evolution of emergencies, such as epidemics. With enhanced data analysis and processing, it can identify possible inflection points in order to create emergency plans and support other decision-making.
- An AI-based medical system with grid management – It can quickly provide prevention and control guidelines for emerging infectious diseases and enhance the efficiency of the medical and public health system. It improves the city's ability to coordinate joint prevention and control efforts.
The Ping An Smart Healthcare team has developed more than 70 AI disease prediction models, 90 smart medical image models, 2,000 disease diagnosis models, 120 disease treatment models, 50 disease Q&A models, and two end-to-end management models, so that it is as prepared as possible to put the new platform into operation. A completion date for the construction of the project is yet to be announced.