Method of standardizing and promoting health medical big data

Abstract

The invention discloses a method for standardizing and promoting health medical big data. The method comprises the steps of S1, carrying out current situation and demand analysis; s2, constructing a framework; s3, caryring out platform construction and application of the health medical big data; s4, carrying out safety and guarantee of health medical big data; and S5, running and maintaining the health medical big data platform. Beneficial effects are that: a health medical big data platform is established; health medical big data can be effectively collected and managed; unified acquisition and management of the platform are carried out, and the collection and management of the health medical big data can be more standard; the development of health medical big data is promoted, through the operation of the big data platform, the health medical information is conveniently integrated and analyzed, the data sharing is convenient, and after the data is utilized, different user groups canbe served, so that the service of the medical health system is conveniently standardized, and the development and progress of the medical health career are promoted.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a method for standardizing and promoting big data of health care. Background technique [0002] With the intensification of my country's aging population, rising threats of chronic diseases, rapid urbanization, and increasing demand for medical services among ordinary people, my country's current medical reform has entered a deep-water area. Healthcare institutions are facing new challenges in managing operational performance and other aspects. At the same time, with the development of information technology, the integration and penetration of the new generation of information technology represented by cloud computing, big data, Internet of Things, and mobile Internet and traditional industries will definitely bring profound changes to human production and life. [0003] The application of big data processing in the medical industry includes many directions, such as comparative ...

AI Technical Summary

Problems solved by technology

Traditional technologies already have existing rules in terms of collection methods, content classification, collection standards, etc., and the analysis of specimens is mostly based on individuals or a small number of groups. The depth of correlation between external causes and internal effects of specimens is weak, and the results of analysis and prediction Relatively vague and not precise enough, it can only explain the macro and overall situation

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