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Intelligent management system and method for adverse events involving patients with heart failure

A technology for adverse events and heart failure, applied in the field of medical data management, can solve problems such as intelligent management of adverse events in patients with heart failure, and achieve the effect of improving the process and level of intelligent management

Active Publication Date: 2019-01-11
GENERAL HOSPITAL OF PLA
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Problems solved by technology

[0004] In view of the above analysis, the embodiment of the present invention aims to provide an intelligent management system and method for adverse events in patients with heart failure, using big data technology to construct an intelligent management system and method for adverse events in patients with heart failure, which is conducive to standardizing and improving the management process of heart failure diagnosis and treatment and level, avoiding the defects that existing systems and methods cannot solve the intelligent management of adverse events in patients with heart failure, which has important clinical guiding significance

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  • Intelligent management system and method for adverse events involving patients with heart failure
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  • Intelligent management system and method for adverse events involving patients with heart failure

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Embodiment Construction

[0028] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and together with the embodiments of the present invention are used to explain the principle of the present invention and are not intended to limit the scope of the present invention.

[0029]The technical idea of ​​the embodiment of the present invention is: in view of the fact that the existing system cannot meet the requirements of standardized management and optimization of the diagnosis and treatment process of heart failure patients, the embodiment of the present invention starts from a large number of unbalanced, high-dimensional and redundant heart failure The potential risk factors that induce clinical major adverse events are excavated from the patient characteristic data, the occurrence mechanism and coupling rules of clinical major adverse events are discovered, an...

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Abstract

The invention relates to an intelligent management system and method for adverse events involving patients with heart failure and belongs to the field of medical data management. The system comprisesa communication server, a computing cloud server, and one or more clients connected to the computing cloud server; the communication server comprises a data collection module for collecting the data of the patients with heart failure; the computing cloud server comprises an algorithm module which is used for modeling the data of the patient through using a DCC algorithm so as to obtain the analysis result of an adverse event model; and the result display module of the client is used for result output or data input and comprises a result demonstration module used for analysis result output or score input. With the intelligent management system and method of the invention adopted, a defect that an existing system and method fail to manage the adverse events involving patients with heart failure can be eliminated, and the standardization and improvement of the process and level of the intelligent management of the patients with heart failure can be benefitted.

Description

technical field [0001] The invention relates to the field of medical data management, in particular to an intelligent management system and method for adverse events of heart failure patients. Background technique [0002] Heart failure (HF) is an end-stage clinical syndrome of various heart diseases. According to literature reports, from 2012 to 2030 in my country, the incidence of heart failure will surge by 46%, and the 5-year all-cause mortality rate of heart failure patients is still close to 50%. Comprehensive and accurate risk test assessment and intervention effect analysis are the basis for diagnosis, treatment and management of heart failure. Among them, the potential risk factors that induce clinical major adverse events are excavated from a large number of unbalanced, high-dimensional, and redundant HF patient characteristic data, and the occurrence mechanism and coupling rules of clinical major adverse events are discovered, and then the HF Intelligent managem...

Claims

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Application Information

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IPC IPC(8): G16H50/30
CPCG16H50/30
Inventor 何昆仑王彬华董蔚李佳月薛万国田亚平戈程
Owner GENERAL HOSPITAL OF PLA
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