Evidence retrieval and collection system and method applied to evidence-based medicine

Abstract

The invention discloses an evidence retrieval and collection system and method applied to evidence-based medicine. The evidence retrieval and collection system comprises an evidence collection unit, an evidence chain generation module, a data analysis module, an intelligent learning module, an evidence retrieval unit and a model construction module. The invention further discloses the evidence retrieval and collection method applied to evidence-based medicine. The evidence retrieval and collection method comprises the following steps: A, evidence collection; B, evidence chain generation; C, evidence retrieval; D, data analysis; and E, model construction. According to the invention, case evidences of patients can be fully collected and are combined with historical case evidences retrieved from a Cochrane database; timestamps and geographical location information are added into the collected evidence data through an information adding module to form an evidence chain; corresponding historical case evidences can be quickly retrieved through the Meta analysis module; and keyword retrieval is learned through the intelligent learning module, and a retrieval strategy of the intelligent learning module is learned and analyzed, so the purpose of intelligently making a retrieval strategy after related keywords are input is achieved.

Description

technical field [0001] The invention relates to the technical field of medical evidence retrieval, in particular to an evidence retrieval and collection system and method applied to evidence-based medicine. Background technique [0002] Evidence-based medicine is essentially a basic discipline of clinical medicine and a methodology to guide clinical medical treatment for scientific diagnosis and treatment decisions. Among them, the research evidence of randomized controlled trials is an important evidence that directly reflects the curative effect in clinical treatment. The process of practicing evidence-based medicine includes five steps, which are the construction and method of evidence-based questions, evidence retrieval and collection, rigorous evaluation of evidence, application of best evidence, and experience summary and aftereffect evaluation. Among them, in the steps of evidence retrieval and collection, traditional methods rely heavily on labor-intensive manual pr...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide an evidence retrieval and collection system and method applied to evidence-based medicine to solve the problem that the existing information collection and classification system and method cannot combine patient case evidence and add time stamp and geographic location information to form evidence chain, without setting up model building blocks, cannot use the case evidence model for data analysis, and cannot analyze the uncertainty of each evidence subject

[0008] In order to realize the above-mentioned evidence retrieval and collection system and method applied to evidence-based medicine, the existing information collection and classification system and method cannot combine patient case evidence and add time stamp and geographic location information to form an evidence chain, and there is no model building block , the case evidence model cannot be used for data analysis, and the uncertainty of each evidence subject cannot be analyzed. The present invention provides the following technical solutions:

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