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Promote smart healthcare: improve the top-level design and strengthen the research and development of related technologies

“The speed and accuracy of nucleic acid testing are not enough, can we use CT imaging technology to improve the efficiency of case screening?” At the end of January 2020, this message from the frontline medical staff of the anti-epidemic came to the representative of the National People’s Congress and the former president of Nanjing University of Posts and Telecommunications Yang Zhen’s desk.

At that time, the new crown epidemic was raging, and the pressure for large-scale rapid screening and diagnosis surged. In several versions of the diagnosis and treatment plan, CT imaging is one of the basis for diagnosis. This method is time-consuming and highly reliable, but it requires an imaging doctor to read the pictures one by one, which is time-consuming and labor-intensive.

Can artificial intelligence (AI) technology help? Yang Zhen, who has been engaged in information technology research for a long time, took action.

Relying on the platform of the National Engineering Research Center and the professional foundation of image recognition, Yang Zhen and the team leader Professor Li Haibo organized a team to conduct research experiments. They found that artificial intelligence can automatically identify lung characteristics in CT images to determine whether they are infected, complete the preliminary screening of suspected cases, assist doctors in diagnosis, and share the workload.

He submitted to the relevant department of the Standing Committee of the National People’s Congress the suggestion of “using artificial intelligence to empower CT to make it a powerful tool for screening tens of thousands of suspected patients” and quickly received a reply. As of September 2020, 4 companies’ AI products for pneumonia have completed access testing, and lung CT imaging diagnostic technology products have entered the clinical trial stage.

This is not an isolated case. Intelligent medical methods such as AI-assisted diagnosis and treatment, remote surgery, and wearable devices are being promoted. Development opportunities.” Hu Yu, member of the National Committee of the Chinese People’s Political Consultative Conference and Dean of Union Hospital of Tongji Medical College of Huazhong University of Science and Technology, stated in the proposal that as of the end of October 2020, there are more than 900 Internet hospitals across the country, and the telemedicine collaboration network covers all prefecture-level cities. , The number of online users is 215 million, and the smart medical industry has the foundation and advantages to shift to high-quality development.

However, he emphasized that there are some problems in the promotion and application of smart medical care: the level of smart medical care is not high, such as the “disconnection” of online diagnosis and treatment and smart monitoring, and smart devices such as heart monitoring and sleep monitoring have not been connected to medical institutions, which affects the efficiency of treatment; the degree of smart interconnection Low, inter-regional, inter-agency health information platform, data sharing and exchange platform, diagnosis and treatment center construction is uneven.

To this end, he suggested to further improve the top-level design of smart medical care. “Smart medical care should provide higher quality, more efficient, fairer, more sustainable, and safer services.” Hu Yu said, suggesting that smart medical care should be included in the “14th Five-Year” health and health plan to accelerate the formation of medical services. New forms of health, improve the overall level of intelligence, accelerate the construction of smart hospitals, increase the degree of intelligence in the medical process, and increase the utilization rate of the elderly’s medical and health apps.

“It is recommended to further strengthen the research and development of smart medical related technologies.” Hu Yu emphasized the importance of consolidating the technical foundation. Specifically, we can explore a new model of government-led, collaborative R&D and application of hospitals, scientific research institutes, and enterprises, and improve management and The benefit distribution mechanism takes major projects as the starting point to promote the output of new technologies and products such as smart medical equipment, auxiliary systems, and smart diagnostic equipment.

“The medical AI field is also facing three major problems: high initial cost of the industry, non-standard product development, and difficulty in implementing medical AI.” Qian Tianyi, head of the construction project of the new generation of artificial intelligence open innovation platform in the medical imaging country and director of the Tencent Medical Technology Committee, also believes It can only be achieved by building a common technology open platform and a platform for industry-university-research cooperation to lower the industry threshold, establish a technical standard system and shared basic resource library and other industry support systems, promote industry upstream and downstream cooperation, and open up the high-speed channel from scientific research models to clinical applications. The large-scale application and sustainable development of medical imaging AI in more types of diseases and more levels of medical institutions.

In the opinion of Liu Qingfeng, a representative of the National People’s Congress and chairman of iFLYTEK, the use of artificial intelligence technology to improve the quality and level of primary-level diagnosis and treatment services can also prevent “poverty due to illness and return to poverty due to illness”, which will help consolidate and expand the results of poverty alleviation and achieve Rural revitalization.

He suggested to increase research on key technologies of artificial intelligence in the medical field, and strengthen the cultivation of medical artificial intelligence talents and grassroots doctors in artificial intelligence literacy. “On the one hand, we will focus on creating a curriculum system that combines artificial intelligence and clinical medicine, and explore new talent training models represented by the’Open University’ and “Integration of Industry, Education and Research”; The improvement of core literacy will be incorporated into the basic-level doctors’ competency model.” Liu Qingfeng said.

In addition, the protection of medical data privacy has attracted much attention. Hu Yu emphasized that it is recommended to speed up the legislative process of personal information protection, improve the promulgation of the “Personal Information Protection Law” and the “Data Security Law” as soon as possible, and use the law to consolidate the security line of defense for protecting citizens’ personal information. “It is recommended that disputes arising from online medical treatment be included in the jurisdiction of Internet courts, and law enforcement should be strengthened.” Hu Yu said.

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