Diabetes management path system based on big data

A technology for managing pathways and diabetes, applied in the field of medical assistance, it can solve problems such as the inability of auxiliary medical care and health consulting services to play a role, and achieve the effects of improving disease control rates, simplifying implementation, and improving visibility

Inactive Publication Date: 2020-01-21
江苏健康无忧网络科技有限公司 +2
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The traditional hospital information system mainly provides convenience in the medical treatment process, patient management, hospital business, etc., but it is difficult to play a role in auxiliary medical care, health consultation and other services

Method used

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  • Diabetes management path system based on big data
  • Diabetes management path system based on big data
  • Diabetes management path system based on big data

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Embodiment Construction

[0032] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0033] figure 1 Schematic diagram of the system structure realized by the diabetes management path method of the present invention: figure 1 Middle: The service engine is designed as a five-level architecture of application layer, standard interface layer, control layer, service layer and resource layer, and the last four layers are the main design and implementation parts of this research. Various applications in the application layer complete various management tasks in the diabetes management process by calling service interfaces. In the service engine architecture designed in this study:

[0034] Standard interface layer: the interface layer adopts the RESTful style service interface design, which is responsible for...

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Abstract

The invention discloses a diabetes management path system based on big data. The system comprises the following steps: 1) performing hierarchical management on patients based on a pre-diagnosis modeland a rule engine; if the working mode is prognosis evaluation, receiving corresponding examination parameters, wherein the examination parameters comprise a glycosylated hemoglobin value and / or a total cholesterol value; receiving whether complications exist or not input by a user; judging a threshold range to which the examination parameters belong; and obtaining a prognosis effect level of theuser; 2) obtaining basic information of the user, wherein the basic information comprises gender, age, height, weight, occupation, daily activity level and diet condition; formulating an application of a management prescription and a management path in a diabetes management mode, and a collection module, an evaluation module and a suggestion output module based on successive connection, wherein the acquisition module for diabetes management path is used for receiving corresponding examination parameters according to a working mode selected by a user; and the evaluation module is used for comparing and analyzing the inspection parameters with a preset standard to obtain an evaluation result.

Description

technical field [0001] The invention relates to the field of medical assistance technology, belongs to the field of computer big data analysis diabetes management path service discovery, and specifically relates to a method for discovering diabetes management paths based on big data. Background technique [0002] In today's society with rapid economic development, health issues have become an important issue for human beings. Diabetes is one of the challenges of human health. Diabetes is a metabolic disease characterized by hyperglycemia. The main clinical manifestation of diabetes is hyperglycemia. At present, there is no cure. Diabetes is a chronic disease. Chronic disease management refers to the medical behavior and process of regular detection, continuous monitoring, evaluation and comprehensive intervention management of chronic non-communicable diseases and their risk factors. The main connotations include early screening of chronic diseases, risk prediction, early w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H40/20G16H10/60
CPCG16H10/60G16H40/20G16H50/30
Inventor 刘云单涛卢珊景慎旗胡杰姜险峰
Owner 江苏健康无忧网络科技有限公司
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