"Internet+medical care" under the empowerment of big data

"Internet+medical care" under the empowerment of big data

In recent years, the popularity of "internet plus" continues to rise. In the government work report of 20 18, * * * mentioned "internet plus" in seven places. "Make emerging industrial clusters bigger and stronger, implement big data development actions, strengthen the R&D and application of a new generation of artificial intelligence, and promote the' internet plus' in the fields of medical care, pension, education, culture and sports" was written into this year's government work proposal. At this year's two sessions, a number of technology giants made suggestions on the application of health big data and artificial intelligence in the field of "Internet+medical care".

Artificial Intelligence Assists Primary Health Care

Digital technologies such as mobile Internet, big data, cloud computing, Internet of Things and artificial intelligence have effectively improved the informationization, networking and intelligence level of the health care industry. With the breakthrough and application of new technologies such as 5G and blockchain, digital technology will also have a far-reaching impact on medical care. But whether it is Internet+medical care or AI+ medical care, the most urgently needed application scenarios are actually at the grassroots level.

Ma, deputy to the National People's Congress and chairman and CEO of Tencent, suggested that technologies such as artificial intelligence aided diagnosis can be promoted in underdeveloped areas and grassroots institutions first. For example, Tencent's "shadow-seeking" platform combining medical imaging and artificial intelligence technology has become an auxiliary cancer screening tool for medical institutions; Through AR, VR and live broadcast, grassroots doctors can consult and communicate with experts remotely, which will effectively improve the current situation of insufficient medical resources and promote the precise sinking of high-quality medical resources.

Wang Xiaochuan, a member of the Chinese People's Political Consultative Conference (CPPCC) and CEO of sogou Company, suggested that high-quality resources should be widely connected to patients' terminal by digital technology, and the "last mile" of medical benefits should be opened, and a three-level supply model of "core hospital+primary health service institutions+digital family doctor" should be provided to improve medical efficiency and accuracy, boost graded diagnosis and treatment, and strive to realize that every family in China has a family doctor and promote universal medical coverage.

The application of health big data faces many challenges.

Although the application of big data is in full swing, there are still many challenges to realize the application of digital technology in the medical and health field. For example, there are different levels of data barriers between government departments, between medical institutions, and between medical institutions and service enterprises. At the same time, there are still many policies, standards, regulations and technical barriers in the integration of new technologies such as mobile Internet, big data and artificial intelligence with the health care industry.

In this regard, Ma suggested that digital technologies such as cloud computing and big data should be used as carriers and means to establish a data sharing mechanism between cross-departmental and cross-professional health care institutions, so as to realize the standardized collection, integration, sharing and compliance application of health care big data, improve the accuracy of management and services, and help the country build an all-round and full-cycle population health information platform. It is suggested that legislation should be made to clarify the ownership relationship of medical data among management institutions, medical institutions, market subjects and individual patients. Establish an open innovation platform in the field of health care led by the government and participated by many parties, strengthen the sharing of mature technology and top experts' experience, solve the problem of the integration of digital technology and medical industry, and lower the technical threshold for the large-scale popularization and application of digital technology.

"Artificial intelligence+medical care" is inseparable from high-quality health care data. Liu Qingfeng, deputy to the National People's Congress and chairman of Iflytek, said that at present, the existing high-quality health care data are mostly concentrated in the process of in-hospital diagnosis and treatment, and mainly concentrated in specialized diseases. The imperfect health data such as common diseases, chronic diseases and patients' behaviors restrict the full play of artificial intelligence technology in the medical reform task. He suggested that intelligent voice technology should be included in the development layout of the national health care big data strategy. On this basis, establish the national health care voice data application standard, and realize the whole life cycle and all-round health care big data system covering collection, application and management.