The digital transformation of medical care is inseparable from data-driven, and the foundation of data-driven is based on high-quality data. The integration of medical resources has always been one of the hot spots in the practice of medical reform in my country. It began in the 1990s and had the characteristics of "spontaneous organization, market orientation, and horizontal alliance" in the early stage. With the implementation of the new medical reform plan and the return of the public welfare of medical services , has now entered a new stage of "government guidance, patient orientation, and vertical integration".
Data is both a product and a raw material. It is the raw material used to describe facts and phenomena, and it is an unorganized fact. Collect and organize the original, unordered, and messy data, and extract useful information from it to make the data more meaningful; then process and extract the information into knowledge that can be disseminated, precipitated, and reused, so that Obtaining a greater value of data resources is the real data asset that cannot be expanded.
Medical data is scattered in the regulatory departments of the national health system, public hospitals, social individual organizations, socialized health management enterprises, etc. Each organization has different dimensions of medical record data, clinical data, prescription data, test data, etc. The value of data can only be brought into play after it is aggregated, and how to apply big data in a reasonable and standardized way is the direction we should explore.
Medical Data Analysis System
The integration of medical data resources is an inevitable product of economic and social development to a certain level and the development of the medical care system to a certain stage. Its basic feature is to optimize the combination through the integration, analysis and sharing of data resources under the premise of data resource integration and sharing. Provide more and better medical services.
For the medical big data market, accumulating "big" data is not the ultimate goal, but more importantly, use and value mining. Part of medical data belongs to public resources, and part belongs to personal privacy. Complete clinical information, various forms of analysis data, and data such as molecular imaging, molecular pathology, and clinical drugs are managed and analyzed in various forms, and finally aggregated to form big data resources. , to provide data support for medical and scientific research.
At present, clinical doctors lack effective system support for scientific research data collection and management. Jijiatongda's "Data Resource Integration Platform" not only provides full-process data collection and analysis for doctors' scientific research work, but also supports clinical personalized full-process diagnosis and treatment data management. To ensure the integrity and scientificity of the data.
The product adopts a multi-center sharing model, based on the multi-modal and cloud-edge collaborative data collection mechanism of web crawlers, data engines, import tools and client terminals, which solves the problem of large-span, multi-level, large-scale, and heterogeneous original data collection in the medical industry. Issues such as configuration, extensiveness, and timeliness; take knowledge graph as the core, adhere to clinical thinking, provide clinicians with convenient, flexible and safe data resource management tools, and serve medicine, teaching, and research.
product value
Integration of medical data resources丨Integrate data stored in various medical systems and equipment within the hospital, with different structures and inconsistent semantics, to build a complete, unified, and high-quality medical data center.
Intelligent data analysis and utilization丨Comprehensively use technologies such as data visualization, data analysis and mining, and reasoning to establish an intelligent data application system that supports clinical medicine, hospital management, scientific research, and health services.
Medical data warehousing establishes a continuously updated, standardized, and complete information model, establishes high-quality, interactive medical data sets, and generates clinical data integration views.
Comprehensive, intuitive and flexible data丨Support all clinical data viewing: medical records, doctor's orders, prescriptions, test reports, surgical records; filter and display data according to conditions and scenarios.
The integration of data resources drives the informatization practice of medical digital sharing and collaboration, which can upgrade the medical experience, improve the collection of medical information from pre-diagnosis to post-diagnosis, and upgrade clinical care. Realize multidisciplinary joint diagnosis and treatment resource sharing, efficiency improvement, and precise diagnosis and treatment; upgrade hospital management, scientific decision-making, and intelligent management and control.
This article is written by "Changchun Jijia Tongda Information Technology Co., Ltd.", please contact us for details!