During the two sessions of the National Congress in 2020, Liu Qingfeng, NPC deputy and chairman of the HKUST Xunfei, submitted five written proposals to the National Congress and the National Congress of the People ’s Republic of China on smart education, public health, smart office, private universities, and taxation policies.

Among them, in the field of public health, Liu Qingfeng suggested that artificial intelligence be used to improve the ability of primary diagnosis and treatment and strengthen public health services.

Liu Qingfeng said that General Secretary Xi pointed out in the report of the 19th National Congress of the Communist Party of China that “we need to improve the national health policy and provide a full range of full-cycle health services for the people” and demanded ” Promote the deep integration of the Internet, big data, artificial intelligence and the real economy. ” Faced with the structural problems of relatively lacking high-quality medical resources and insufficient primary medical service capabilities in China, artificial intelligence technology can provide effective support and create new service models and means for the healthcare industry.

In March 2018, the Anhui Provincial Health Commission took the lead in applying artificial intelligence assisted diagnosis technology in the country, and established a system to improve the ability of primary diagnosis and treatment across the province. At present, it has covered more than 14,000 grass-roots medical and health institutions in 16 cities and 61 counties (including 16 national-level poverty-stricken counties and 29 provincial-level poverty-stricken counties), serving more than 30,000 primary-level doctors and benefiting more than 40 million residents. Since going online, the system has assisted doctors to complete more than 34.65 million electronic medical records, and has promoted the basic electronic medical record writing standard rate from less than 20% to 90%; provided a total of 47.44 million auxiliary diagnostic suggestions, and the reasonable diagnosis rate has increased from 70% to 88 %, Automatically screen for suspected misdiagnosis of critical illnesses to senior doctors for review and intervention, and provide patients with closed-loop diagnosis and treatment services.

During the New Coronary Pneumonia Epidemic, more than 30 provinces and cities such as Beijing, Hubei, Tianjin, Anhui, and Yunnan conducted artificial intelligence phone robots to carry out key population surveys, missions, and education for the New Coronary Pneumonia epidemic. The collection of non-contact epidemic-related data has served a total of 59 million person-times, screened out 36,000 residents with fever, and has a positive epidemiological history of 47,000. In Wuhan, the main battlefield of epidemic prevention, the HKUST Xunfei phone robot completed the screening and follow-up of 1 million residents in just 6 hours, increasing the screening rate of epidemic situation by more than 20 times. In addition, HKUST Xunfei Korean version of the phone robot is also supporting foreign epidemic prevention and control. It is the only intelligent outbound product certified by the Ministry of Welfare of the Republic of Korea and is used normally in Seoul, Daegu and other places.

Artificial intelligence empowers primary medical care, which is a practical and feasible measure to complement the short board of primary medical services and strengthen the efficiency of public health services. Based on this, Liu Qingfeng suggested:

1. Copy Anhui ’s experience and speed up the application and promotion of artificial intelligence-assisted diagnosis and treatment technology at the grassroots level. It is recommended that the National Health and Health Commission hold an on-site meeting on the application of artificial intelligence-assisted diagnosis and treatment at the grassroots level in Anhui Province to further formulate corresponding plans and policies To promote the Anhui experience nationwide, start the second phase of the “Pilot Project for Capacity Building of Medical and Health Institutions in 2019 (Family Doctor Clinical Service Capacity Building)”, accelerate the national application and promotion of artificial intelligence-assisted diagnosis and treatment, and comprehensively improve China ’s primary medical capabilities, Build a grassroots artificial intelligence-assisted diagnosis and treatment service system.

2. Incorporate artificial intelligence telephone robots as a means of public health services into the “National Basic Public Health Service Standards” to improve grassroots public health Service efficiency. Artificial intelligence telephone robots can greatly reduce the workload of family doctors’ public health services, and achieve public health warnings and real-time investigations that traditional humans cannot complete. For major public health emergencies, artificial intelligence telephone robots can be used in a short time Conducting epidemiological and traceability surveys on large populations, making the coverage of the population more extensive, more timely and comprehensive information collection, improving accuracy and screening efficiency, finding suspected populations of major infectious diseases, and improving response to major public health emergencies The ability level of the event. It is recommended that the National Health and Health Commission include artificial intelligence telephone robots as a standard means of public health services such as family doctor contract services, epidemic prevention and control, etc., in the “National Basic Public Health Service Standards.”