A literature screening and labeling platform for evidence-based medicine

Abstract

The invention discloses a literature screening and labeling platform for evidence-based medicine, which comprises a back-end server, and a management end, an arbitration end and at least two labelingends which are respectively connected with the back-end server, and is characterized in that the management end imports literatures, publishes labeling tasks to the labeling ends and exports final labeled literature data; Each labeling end carries out multiple rounds of labeling processing on the documents contained in the labeling task to obtain labeled document data; The back-end server obtainslabeled literature data obtained after each labeling end processes the labeling task in real time, automatically judges the consistency of labeling results of different labeling ends for each literature, and sends the labeling task of the literature to the original labeling end or the arbitration end for processing according to the judgment result; And the arbitration end receives and processes the labeling task of the literature and outputs corresponding final labeling literature data. The platform can conveniently, accurately and quickly complete the screening process meeting the evidence-based requirement, and can export standardized question data for subsequent use.

Description

technical field [0001] The invention relates to the field of smart medical care, in particular to a document screening and labeling platform for evidence-based medicine. Background technique [0002] Evidence-based medicine (Evidence Based Medicine, EBM) is a method of medical practice, which aims to emphasize the optimization of medical decision-making based on the evidence extracted from well-designed excellent research. It has wide applicability in medical education, guideline formulation and public health management. By synthesizing a large amount of scientific clinical practice literature, evidence-based medicine can help clinicians reduce or even avoid the limitations of knowledge gaps and experience bias, thereby assisting physicians to use the best clinical evidence to make decisions. [0003] Nowadays, the publication of clinical trials and systematic reviews is growing exponentially. On average, 75 clinical trials are published every day in the world, 11 systemati...

AI Technical Summary

Problems solved by technology

At present, the process of literature screening itself is complex, demanding and heavy workload. Although some literature management software can be used to improve the efficiency of literature retrieval and screening, it is only compared with traditional manual screening. From the results, the screening efficiency is still the same. quite low

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