Technical architecture of medical and health big data service platform

Original link: http://click.aliyun.com/m/26456/
Abstract: The medical and health big data service platform is a series of software, hardware and personnel, policy support that includes multiple business systems, multiple self-management software The integrated system system, unified construction of medical and health cloud computing service center, centralized storage of residents' medical and health information and residents' electronic health records and other data, to meet the application needs of the general public, medical workers, health authorities at all levels, and third-party institutions.

The medical and health big data service platform is a comprehensive system system including multiple business systems, multiple self-management software, and a series of software, hardware, personnel, and policy support. Data such as information and residents' electronic health records meet the application needs of the general public, medical workers, health authorities at all levels, and third-party institutions.

The medical and health big data service platform is a comprehensive system system including multiple business systems, multiple self-management software, and a series of software, hardware, personnel, and policy support. Data such as information and residents' electronic health records meet the application needs of the general public, medical workers, health authorities at all levels, and third-party institutions. The overall architecture of the medical and health big data service platform is shown in the figure below.


The overall
architecture of the medical and health big data service platform

As shown in the figure above, the medical and health big data service platform is divided into a resource layer, a service layer and a presentation layer. The functions of the middle layer are as follows:

1. The presentation layer

is responsible for providing users with medical and health information, as well as analyzing and mining information services, and supports four categories of users, including: the public, medical workers, health authorities and third-party organizations. Through this platform, you can obtain not only the display of medical and health data service results, but also the display of medical and health data analysis and mining service results. This platform provides external access to Web pages or mobile communication terminals (android, iOS).

2. Service layer

The service layer is mainly all application-related services that can be provided during the platform construction process. Application services can be roughly divided into business application services, data resource services, tool software services and other services. Business application services are mainly for different users to solve specific business function needs, including public services, hospital diagnosis and treatment services, comprehensive health services, big data analysis services, etc.; data services are various data services classified by business. Tool software services are mainly provided for data maintenance and collection, cleaning, integration, analysis, statistics, etc.

3. Resource layer The

resource layer is responsible for the integrated storage and management of medical and health big data and data analysis and mining related application resources. The resource layer can be further divided into three layers: virtualized service management platform, virtualized data management platform and physical resource layer. Among them: the

physical resource layer provides the actual storage of various data resources and application resources, including: all data related to medical health, the built data resource center and all resources in application service resources. This layer will provide various types of data management systems such as relational database systems, non-relational databases, and data warehouses.

The virtualized data management platform uses virtualization technology to encapsulate all physical resources, and provides various virtualized resources to the upper layer. Internally, the virtualized data management platform ensures high performance, high availability, and high availability of the entire platform through heterogeneous data integration and management, virtualized resource scheduling, data division, load balancing, real-time backup monitoring, and fault recovery. Extensibility.

The virtualization service management platform is responsible for managing and scheduling all application service-related resources. According to the function, it can be divided into: virtualized data resource center and virtualized application service component resource center. Among them: the data resource center analyzes, extracts, and processes data of different structures of different business departments according to different needs to form comprehensive theme-oriented data, providing efficient and various information for macro decision-making for personnel at all levels in the organization . Application Service Resource Center Application Service Component Resource Center provides data mining and other services, enabling health industry managers to use various historical data and current data to conduct various complex analysis, prediction and auxiliary decision-making.

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Original link: http://click.aliyun.com/m/26456/