Exploring new modes of service through "Internet + health care"

Jin Xiaotao, deputy director of the National Health and Family Planning Commission, said on the 17th that China will take the protection of all people's health as the starting point, explore new service models through "Internet + health care ", foster new business development, and establish a national medical and health information grading and open application by 2020. The platform, the health care big data industry system was initially formed.

Jin Xiaotao said that health care big data covers the whole life cycle of people, including personal health, but also the convergence and aggregation of data on medical services, disease prevention and control, health care and food safety, health care and so on. The use of health care big data not only plays an important role in improving the health care service model, but also plays an important role in promoting economic and social development. It is an important basic strategic resource of the country.

For the improvement of people's livelihood in the development of health care big data applications, Jin Xiaotao believes that it is mainly reflected in three aspects. First, continuously enhance the "self-health" service experience, let the health data "run more roads", let the people "less errands", in the Internet health consultation, appointment appointments, appointment registration, inter-diagnosis settlement, medical insurance network remote settlement, mobile payment In other respects, it will bring more convenient application services to the people. Second, with the development and improvement of health care big data, the deep integration of big data technology and health care services can enable superior resources to “go down”, better promote the grading of medical treatment, accelerate the popularization of telemedicine , and promote precision. Medical development. The third is to promote integrated health services that cover the whole life cycle of prevention, treatment, rehabilitation and health management through big data.

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