With the wide application of big data, cloud computing, mobile Internet, artificial intelligence and other modern information technology in the field of health care, health care information technology to optimize the allocation of medical resources, innovative health care services content and form of health had a major impact, has It has become an important support for deepening medical reform and promoting healthy China. To build a healthy China, we must seize the opportunities brought about by the development of health care information, vigorously promote the individualization, intelligence and convenience of health care services, carry out comprehensive health management, promote precision medical research, and innovate health care service formats. Improve health supervision and decision-making capabilities. Specifically, health care informationization mainly presents the following development trends.
It is in a period of rapid development and widespread application. With the development of health medical information in recent years, health medical big data has been formed in scientific research, health care services and management practices, and technologies such as collection, storage, organization, integration, mining, collaboration and interoperability are making breakthroughs. It mainly includes: health medical data collection based on multi-perceptor and intelligent terminal, distributed storage and parallel computing based on cloud platform, real-time processing of dynamic big data and unstructured data processing, deep integration of multi-heterogeneous data, massive dynamics Data learning, reasoning, prediction, and knowledge discovery. The breakthrough of these new technologies will provide strong technical support for innovative applications driven by health care informationization.
Support for clinical decision making and precision medical research. Health and medical informationization not only pushes medical services into an intelligent era, but also provides strong support for clinical decision-making and precision medical research. Accurate analysis of large data sets, including patient signs, efficacy, and costs, through a comparative study of results can help doctors determine the most effective and cost-effective treatments. At the same time, the use of clinical decision support system can effectively broaden the knowledge of clinicians, reduce human negligence, help doctors improve the quality of diagnosis and work efficiency; through the integrated analysis of treatment operations and performance data sets, create visual flow charts and performance maps, identify medical processes Anomalies can provide a basis for clinical decision making for process optimization. More importantly, using gene chip and gene sequencing technology, we can obtain genomic, proteomic, and metabolome data of a large number of individuals, study the mechanism of hereditary diseases and rare diseases, and find targets related to disease treatment. Data-driven precision medical research to achieve personalized treatment.
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