Adverse event influence factor analysis system and method

Abstract

The invention discloses an adverse event influence factor analysis system and method, and the system obtains cause data corresponding to clinical diagnosis adverse events, and builds and obtains an adverse event influence factor analysis model of each clinical subject according to the quality control, standardization and grouping processing of clinical data. When the system receives an analysis request for obtaining adverse event related influence factors carrying clinical data of a patient, an adverse event type influence factor analysis model corresponding to a clinical subject is obtained through matching according to the clinical data of the patient; and obtaining adverse event classification information, specific information of influence factors, calculation results of the influence factors and ranking results of the influence factors, and carrying out comprehensive evaluation according to the reason analysis information of each adverse event to obtain and output feasible suggestions. According to the invention, unified management of clinical data is realized, and the analysis result is output according to the influence factors of the cause data of adverse events provided by the subject library.

Description

technical field [0001] The invention relates to a clinical data processing system and method in the medical industry, in particular to a system and method for analyzing risk factors affecting factors of adverse events. Background technique [0002] In recent years, with the rapid development of computer technology and business expansion in the medical industry, it has become a development trend to use computers to manage clinical data in the medical process in the field of medical systems, especially the medical-related adverse events in the medical industry. A large number of patients and their testament diagnosis data generated by the processing are simply stored in the computer, and cannot be reasonably applied and processed twice. In a sense, it is a waste of resources. The existing data system in the medical industry is only a single management system for storing data, and does not provide substantial help and application for the occurrence and prevention of adverse eve...

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the rapid development of computer technology and business expansion in the medical industry, it has become a development trend to use computers to manage clinical data in the medical process in the field of medical systems, especially the medical-related adverse events in the medical industry. A large number of patients and their testament diagnosis data generated by the processing are simply stored in the computer, and cannot be reasonably applied and processed twice. In a sense, it is a waste of resources

The existing data system in the medical industry is only a single management system for storing data, and does not provide substantial help and application for the occurrence and prevention of adverse events

[0003] Its defects mainly lie in: firstly, the data related to the registration and processing of adverse events have not been managed and analyzed in a unified manner, and a separate cause database has not been formed, which cannot provide data support for later risk analysis

Furthermore, the data is unorganized and disorganized, and there is no corresponding data preprocessing and related data screening work on the data

Finally, clinical data has not been used for model analysis and feedback, and it is impossible to analyze the nature of adverse events in a real-time and efficient manner, let alone provide sufficient feedback on the prevention of the next event

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