OFweek Medical Network In September 2015, the General Office of the State Council issued the “Guiding Opinions on Promoting the Construction of Graded Diagnosis and Treatment Systemâ€. The "Opinions" clearly stated that "the development of Internet-based medical and health services, and give full play to the role of information technology such as the Internet and big data in grading diagnosis and treatment."
The application of big data to the construction of grading clinics is the tacit understanding and depth of cooperation between the government, medical institutions, research institutes and enterprises. In 2015, the Sichuan Provincial Health and Family Planning Information Center and the University of Electronic Science and Technology University's Big Data Research Center conducted a series of cooperation. Through in-depth research and practice, the two sides built a monitoring and evaluation platform for big data classification and treatment in less than half a year. Through this cooperation, it not only greatly promoted the development of medical big data application research in Sichuan Province, but also provided a good research case for domestic medical big data practice.
In order to understand the specific content of this cooperation, Arterial Network interviewed Qiu Hang, director of the Big Data Research Center of the University of Electronic Science and Technology of China.
Cooperation background
According to Qiu Hang, the Sichuan Provincial Graded Medical Treatment Monitoring and Evaluation Program, which was formulated at the beginning of 2015, mainly uses a combination of basic information evaluation and on-site inspection and evaluation. The advantage of this evaluation method is that it can grasp the progress of the implementation of the medical institutions at all levels and the regional classification and treatment system as a whole. However, there are also some shortcomings, mainly because the data dimensions for analysis are limited, and it is difficult to reveal the hidden problems behind the data and The core factors affecting the advancement of the system.
If you can use the big data method for analysis, you can make the overall data flow through the relevance of the data, so that the information behind the data is clearly presented.
Based on the above reasons, in June 2015, the Sichuan Provincial Health and Family Planning Information Center and the University of Electronic Science and Technology University Big Data Research Center launched the “Sichuan Provincial Classification and Treatment Big Data Monitoring and Evaluation Platformâ€.
“By both sides use big data technology to assist in the evaluation of graded diagnosis and treatment, from 'experience is decision-making' to 'data-assisted decision-making', and finally to achieve 'data is decision-making', let data speak, to achieve monitoring of medical resources allocation, grading diagnosis and treatment And provide a scientific basis for evaluation and evaluation, thus providing important support for the government authorities to control the overall situation." Qiu Hang said.
Environmental advantage
As a country with a large population, Sichuan Province has a large demand for medical services. At the same time, Sichuan is also a province with insufficient medical resources, urban-rural differences and regional differences. There are not only large-scale large-scale hospitals with the comprehensive strength of Sichuan University, such as West China Hospital, but also small and medium-sized medical institutions in the old revolutionary areas and poverty-stricken mountainous areas. Let the people get the disease and enjoy the high-quality medical resources fairly. It is more urgent to get the common diseases and more common diseases at the grassroots level than other provinces.
On September 17, 2014, the Sichuan Provincial Health and Family Planning Commission and the Provincial Development and Reform Commission and other six departments jointly formulated and issued the "Opinions on Establishing a Complete Graded Diagnosis and Treatment System." Since then, Sichuan Province has fully implemented the grading diagnosis and treatment system, and has successively introduced many policies to promote the construction of a grading diagnosis and treatment system. As a result, Sichuan Province has become the first large province in the country to establish a grading diagnosis and treatment system within the province.
Two centers
In terms of cooperation and division of labor, Qiu Hang told the Arterial Network: “The Sichuan Provincial Health and Family Planning Information Center is led by Director Long Hu, Deputy Director Pan Jingping, Minister of the Statistics Department, Duan Zhanqi, and Minister of the Ministry of Big Data, Deng Ren, as core members, with a focus on Data support (including NCMS data, medical record home data, grading diagnosis and treatment related data, etc.), data cleaning, business guidance. The University of Electronic Science and Technology University Big Data Research Center led by Professor Zhou Tao, Center of Big Data Research Center Health Big Data Research Institute Professor Qiu Hang and Professor Fu Bo are the backbones, mainly responsible for the data mining and analysis. The two centers have complementary advantages, mutual trust and mutual trust, and carry out multi-level and all-round cooperation around matters related to grading diagnosis and treatment."
It is reported that the Sichuan Provincial Health and Family Planning Information Center is a subsidiary of the Sichuan Provincial Health and Family Planning Commission. It is mainly responsible for the construction of health and family planning information, participating in the construction of the population basic information base, and promoting the establishment of a comprehensive development and sharing mechanism for health and family planning information resources; To undertake statistical management work such as statistical survey and analysis of health and family planning, monitor population development dynamics related to family planning, and propose to issue early warning and forecasting of family planning safety.
The University of Electronic Science and Technology University Big Data Research Center is currently the largest and most complete integrated data processing, research and research institution in China. The center has six research institutes including Health Big Data, Security Big Data and Education Big Data. The Health Big Data Research Institute focuses on the collection, processing, storage, analysis, presentation and application of medical health data, focusing on medical data anomaly detection, health analysis and monitoring, disease big data-assisted diagnosis, and medical insurance big data supervision. Such as the basic theoretical research, key technology research and application promotion of health big data.
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