Clinical data statistical analysis method, system and device and storage medium

Abstract

The invention provides a clinical data statistical analysis method, system and device and a storage medium. The method mainly comprises the steps: determining related data accommodation and arrangement conditions according to medical semantics, screening out corresponding data, and completing the grouping of the data; and determining a logic expression for searching clinical data according to an analysis demand, and obtaining a statistical analysis result according to the logic expression. By adopting the method, on one hand, online completion of data input, arrangement and storage can be realized, then intelligent setting is carried out according to the medical semantic storage and exclusion conditions, accurate data grouping can be realized, and the efficiency of early-stage data preparation work is greatly improved; on the other hand, later data statistical analysis is graphical one-key operation, data export is supported, the professional threshold problem is solved, and the methodis suitable for independent operation of medical staff.

Description

technical field [0001] The present invention relates to the field of medical data statistics, in particular, to a method, system, device and storage medium for statistical analysis of clinical data. Background technique [0002] With the development and popularization of modern information technologies such as computer technology and network communication technology, most of the current medical institutions have established digital medical information systems to collect and store various medical information in electronic form. Among them, clinical data is an important reference to guide clinical research and medical scientific research, and relevant statistical analysis is required. However, in the existing application of clinical data statistical analysis, there are many limitations that hinder its value: on the one hand, the existing medical statistical analysis tools are too professional, such as R language, SAS, SPSS and other mainstream tools in the market. It is diffi...

AI Technical Summary

Problems solved by technology

However, in the existing application of clinical data statistical analysis, there are many limitations that hinder its value: on the one hand, the existing medical statistical analysis tools are too professional, such as R language, SAS, SPSS and other mainstream tools in the market. It is difficult for workers to use and operate independently; at the same time, it requires a lot of time and human input in the process of data entry, data sorting, statistical analysis, etc.

To sum up, under the current model, each clinical study has to go through repeated statistical and analysis processes, which requires huge investment, takes a long time, and has a low success rate.

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