Clinical decision support system and method

Abstract

The invention provides a clinical decision support system and method. The system comprises a data analysis management platform, a structured evidence-based knowledge base and an intelligent inference machine, wherein the data analysis management platform stores and processes patient data, detects the data according to biomarkers, and generates omics variation data of the patient; the structured evidence-based knowledge base stores clinical phenotype data, biomarker detection data, the omics variation data, drug diagnosis and treatment research information and evidence-based clinical annotations, and establishes a rule of correlation among the data; and the intelligent inference machine, according to the clinical phenotype data and the omics variation data of the patient, calls the structured evidence-based knowledge base to generate clinical decision reference information. Based on the structured evidence-based knowledge base, omics variation is introduced, so that clinical decision is supported in gene level, and DNA, RNA, protein, metabolome and epigenome level variation is covered; and by performing analysis and evidence-based annotation on the omics variation data, the reference information is provided for the clinical decision, so that the accuracy and reference of clinical decision support are improved.

Description

technical field [0001] The present invention relates to the technical field of medical information, in particular to a clinical decision support system and method. Background technique [0002] With the rapid development of medicine, biomedicine, precision medicine and other fields, it is increasingly difficult for clinicians to update their knowledge to keep pace with the rapidly growing and changing medical knowledge. Therefore, it is necessary to support the clinical decision-making of clinicians and provide reference information for clinicians to improve clinical work efficiency and reduce the rate of medical errors. [0003] At present, the clinical decision support system that has been developed in related technologies inputs clinical data through the human-computer interface, interprets patient information through an interpreter and an inference engine, and generates clinical conclusions. Most clinical decision support systems are based on the knowledge base of medic...

AI Technical Summary

Problems solved by technology

[0004] However, the traditional clinical decision support system based on the medical knowledge base is mainly based on the information in the electronic medical records, and lacks objective support for clinical decision-making at the molecular level. Therefore, the accuracy of the decision-making reference information provided by the traditional clinical decision support system is low. Poor reference

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