In recent years, emerging technologies such as big data, artificial intelligence, and cloud computing have accelerated the transformation and integration of traditional industries, and the epidemic has accelerated the rapid application of artificial intelligence + big data in the health care industry.
On June 7, 2021, the Information Office of the State Council issued the Opinions on Promoting the High-quality Development of Public Hospitals, which includes four major projects that China will implement during the "14th Five-Year Plan" period: one is the improvement of public health prevention and control and treatment capabilities, and the other is the high-quality development project of public hospitals. On July 1, 2021, the specific policy on the "four major projects" "Implementation Plan for the Construction of the 14th Five-Year Plan for the Construction of High-quality and Efficient Medical and Health Service System" was released, with clear demand for big data and information interconnection, prominent information construction status, and the key mention in the construction task: in-depth use of 5G, artificial intelligence and other technologies to build an internationally advanced level of smart hospitals and build a major disease data center. Promote the interconnection, mutual recognition and sharing, terminology specifications and integrated management of data across regions and institutions, build major disease databases and big data analysis systems, and strengthen the construction of smart hospitals, informatization and scientific research platforms.
How to use the exploration of artificial intelligence, big data and other technology applications to assist the development of future medicine and improve the level of human medical health is the focus of the national strategy.
The implementation of the national "medical and health big data" strategy has ushered in a new node for the development and application of big data, but artificial intelligence big data has a long way to go to change the status quo of medical treatment.
According to iDC research reports, The size of China's medical big data solution market in 2020 was 1.20 billion yuan, an increase of 25.7% year-on-year, and it is expected that the market will continue to maintain a high-speed growth momentum in the next few years - with a compound annual growth rate of 24.3% from 2020 to 2025.
Medical big data began to start development around 2015, after years of exploration and practice, its value in clinical and scientific research has gradually emerged, on the one hand, medical big data has empowered clinical research, greatly promoted the quantity and quality of clinical research output of clinicians, on the other hand, the clinical disease library driven by big data technology has been gradually established, which has improved the level and work efficiency of clinical diagnosis and treatment; in addition to these direct medical big data applications, big data technology is embedded in the hospital core system and electronic medical record system. It not only promotes the upgrading of system performance, but also plays a role in promoting the evaluation of electronic medical record application level and the evaluation of hospital information interconnection.
However, at the level of disease database construction at the national level, China is still in the "primary stage".
Most hospitals are still facing problems such as the dispersion of clinical business data, patient privacy leakage, unauthorized use of data, excessive time consuming to collect case data, difficulty in reusing data, and different data standards.
At present, there are many barriers and difficulties restricting the development of health and medical big data. From the hospital level, there are multi-source heterogeneous data collection, the construction of the standard system of medical big data has not reached the application level, the lack of big data processing and AI technology after the structure and natural language processing, can not effectively use big data; from the government level, it is necessary to gradually reserve medical big data as a strategic resource; data sharing needs to be realized; the government needs effective supervision and decision-making platforms and tools.
Lu Guanglin, president of Tianpeng Tianyuan Big Data and executive director of Nanpeng Research Institute, told the 21st Century Business Herald reporter: "Data governance is similar to water treatment plants, through data governance, the irrecipherable water into drinkable water. So that data can get more value. Therefore, data governance is the basis for the availability of data on subsequent platforms. It is necessary to develop an overall data governance framework and plan based on the current situation of hospital data, and at different stages of governance, using different technologies and methods, both traditional etl mapping transformations and emerging neural network models, with appropriate methods to promote appropriate data governance, the ultimate goal is - data availability."
Lu Guanglin told reporters that for example, for example, we have come into contact with the rapid growth, quantity, rapid update and complexity of medical data formed and accumulated with the hospital system, diversified storage forms, and inconsistent standards, resulting in difficult data integration, difficult sharing of business data, resulting in the phenomenon of information islands, and the hospital's medical data is more concerned with individual patient information, rather than group-oriented analysis, which cannot meet the needs of clinical research for horizontal integration and deep mining of disease data. In general, the main problems are the difficulty of collecting data from multiple sources and heterogeneousness, the construction of the standard system of medical big data has not reached the application level, and the lack of big data processing and AI technology post-structured and natural language processing, etc., and the effective use of big data.
In addition, traditional medical problems such as the increase in the incidence of chronic diseases, inaccurate clinical decision-making, uneven allocation of medical resources, and repeated diagnosis and treatment also need to be solved. In view of these problems, our medical big data platform meets the large clinical research needs of doctors through clinical data services; through the landing of innovative applications, according to the way of projects to achieve their needs in hospitals; in addition, it also undertakes the construction and development of regional data platforms. At present, Nanpeng Research Institute has cooperated with more than 20 hospitals in 6 western provinces, with a total of more than 40 cooperative projects. Among them, the Chongqing Health and Medical Big Data Innovation Platform Project has launched a system in nearly 10 hospitals in Chongqing, and more than 5 hospitals have been implemented in the implementation stage. In addition to Chongqing, it cooperates with more than 10 medical institutions in 5 western provinces.
After the development of China's medical big data in the past few years, from the concept of development and gradually explore effective methods, began to achieve good results, specialized disease big data, scientific research big data and other professional themes of big data in clinical treatment and clinical research value highlighted, after the value of the hospital demand increased significantly, those who have advanced big data technology and established medical big data practice manufacturers have been recognized by hospital customers.
Previously, some insiders pointed out that the development of the next three to five years, under the promotion of hospital information interconnection evaluation policies, stimulated by clinical treatment and clinical research needs, medical big data solutions will maintain rapid development, manufacturers with big data technology and landing application practices will continue to open up the market and deepen applications, and gradually establish a certain degree of market entry barriers, market concentration will be further improved.
Leading medical big data manufacturers include professional medical big data solution manufacturers and comprehensive medical information manufacturers, these two types of manufacturers are from two different entry points into the medical big data market, but their business model is showing the characteristics of mutual penetration, that is, professional medical big data manufacturers have also begun to develop the medical information market, such as the development of electronic medical records, integrated platforms and other construction and services, comprehensive medical information manufacturers are based on medical information systems to develop professional medical big data. There is a trend of cooperation and competition between the two types of manufacturers.
It is expected that in the future development, those manufacturers that not only have big data technology capabilities, but also have hospital data governance practices and participate in hospital informatization construction, can seize the dividends brought by the evaluation policy, and can also bring practical value to hospitals in clinical diagnosis and treatment and clinical scientific research and hospital management, and such manufacturers can further expand their share. And those manufacturers who are further involved in medical insurance development, new drug research and development, health management and other businesses based on medical big data solutions have the opportunity to open up new growth areas.
On June 10, 2021, the Data Security Law of the People's Republic of China was released, which applies to the security management of medical and health data, so in the future, medical big data solutions will improve the ability of data security management, and those who can provide advanced security solutions for medical big data have the opportunity to take advantage of future development.
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