Clinical scientific research data query method, system and device and storage medium

Abstract

The invention provides a clinical scientific research data query method, system and device and a storage medium, which reduce the query operation difficulty and improve the efficiency, and comprises the following steps: establishing a scientific research database which comprises a plurality of classification directories which are respectively used for different types of clinical data; receiving a clinical query request; extracting retrieval elements related to the clinical data from the clinical query request, and determining a classification directory to which each retrieval element belongs; querying data meeting the corresponding retrieval elements in each classification directory to obtain a plurality of data sets; all the data sets are combined, a data integration result is obtained, and the data integration result comprises all data combinations which have all the retrieval elements and are obtained through combination; and setting a limiting condition according to the known information, querying data meeting the limiting condition from the data integration result, and outputting a query result meeting the clinical query request.

Description

technical field [0001] The invention relates to the technical field of medical big data, in particular to a query method, system, device and storage medium for clinical scientific research data. Background technique [0002] At present, the status of clinical scientific research is highlighted. Under the modern evaluation system, scientific research atmosphere and scientific research results account for an increasing proportion in the evaluation of hospital quality and competitiveness. At the same time, the level of clinical scientific research is also a key indicator for evaluating the level of doctors. Based on a survey of several researchers around the world, most researchers rate data discoverability as "very important". However, due to the complexity of clinical data itself, manual review or low-efficiency multi-system retrieval and manual data collection are generally used in data acquisition and retrieval of clinical research data. [0003] The main method of manual...

AI Technical Summary

Problems solved by technology

However, due to the complexity of clinical data itself, even if the data is stored in an information system, it is difficult to retrieve the data at one time

It can only be retrieved by type and batch, and then manually aggregated

For this, the data processing ability of clinical personnel and the data structure of the information system are often too high, and it is difficult for clinical researchers to extract data according to their own demands.

For clinical data scattered in multiple information systems, in addition to the above problems, there is also the problem of patient matching, that is, the ways of identifying patients between systems may be inconsistent, and manual identification is required.

[0005] The existence of these problems has led to the query and retrieval of clinical scientific research data has always been a cumbersome, difficult and inefficient work

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