Community-oriented primary health care data management system

Abstract

The invention discloses a community-oriented primary health care data management system. The system comprises a data acquisition module, a cloud computing and artificial intelligence processing moduleand a data processing and processing module. According to the system of the invention, data technologies such as big data, cloud computing and artificial intelligence are utilized to perform batch processing on consumer area groups and consumer individual health medical data, while, part of the data cannot be processed or are required to be confirmed by doctors; such kind of data are subjected toindividualized processing by professional doctor teams so as to reach the technical standards and application requirements of health medical data; a mode which integrates real-time dynamic analysis and timed analysis, and combines health data intelligent analysis with doctor team processing, is adopted, and therefore, real-time effective, concise and systematic individual data with unified formats, of consumer terminals can be generated; and consumers, health management service centers, medical institutions, old-age care institutions, experience institutions, collages, government agencies, etc. can access the data at any time according to permissions so as to make preparations for unexpected conditions.

Description

technical field [0001] The invention relates to a primary medical and health service data management system, and belongs to the technical field of medical and health service data management systems. Background technique [0002] Focusing on the people's increasing demand for health services, use information technology to optimize service processes, improve service efficiency, and better implement requirements for the implementation of hierarchical diagnosis and treatment, and propose new ways to solve current medical problems. In this regard, the innovative application of information technologies such as the Internet, big data, and artificial intelligence in the field of health care has become the only way. [0003] At present, information technologies such as the Internet, big data, and artificial intelligence have not yet been widely applied to the core links of medical care, but only on the periphery of core services, such as online registration, doctor appointments, data...

AI Technical Summary

Problems solved by technology

[0003] At present, information technologies such as the Internet, big data, and artificial intelligence have not yet been widely applied to the core links of medical care, but only in the periphery of core services, such as online registration, doctor appointments, data transmission and storage, etc.

Disadvantages of medical institutions (hospitals, community hospitals, health centers, clinics, telemedicine) diagnosis and treatment data, physical examination institution data, and health and medical big data institution data: individual time point or phased data discontinuity; data scattered in different institutions lack Systematic (fragmentation); Interval data is mainly based on the time of illness. The timeliness is poor. Even if the individual data is concentrated, its use value is low; the data format is incompatible between different institutions, the clinical application value is low, and the data cannot be popularized and applied to medical services. The core link; on the other hand, consumers use medical mobile testing equipment, wearable equipment, intelligent testing equipment and other data disadvantages: it only reflects the singleness of individual data; The data format is not compatible with health care service institutions, the clinical application value is low, and the data cannot be applied to the core links of medical services

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