Intelligent tumor medication instruction system

Abstract

The invention relates to an intelligent tumor medication instruction system. The intelligent tumor medication instruction system is characterized by comprising a patient information module, a gene mutation detection module, a medication instruction database and a detection result reporting module, wherein the patient information module is used for recording the basic information of a patient; the gene mutation detection module is used for detecting the gene mutation information of the patient, such as a gene name, a mutation site, mutation conditions, mutation frequency and germline mutation and / or somatic cell mutation; the medication instruction database is used for performing medication instruction and query according to the clinical information of the patient, automatically matching and sequencing the clinical information and the medication instruction and query results, and sending an optimum medication instruction scheme suitable for the tumor patient to the detection result reporting module; a doctor can instruct the medication on the tumor patient according to the medication scheme displayed by the detection result reporting module. The intelligent tumor medication instruction system is widely applied to the diagnosis and medication instruction process of the tumor patient.

Description

technical field [0001] The invention relates to an intelligent drug guidance system for tumors, and relates to the field of medical technology. Background technique [0002] Currently, the databases that include drug guidance for tumor mutations include: CFDA (China Food and Drug Administration)-approved drug instructions, FDA (Food and Drug Administration)-approved companion diagnostics, Chinese guidelines, industry consensus, NCCN (National Comprehensive Cancer Network) guidelines, pharmgkb, MCG, genecards and clinicaltrials. The collection of drug guidance for cancer patients in each individual database is not comprehensive enough, and there is no prioritization of multiple drug guidance for the same clinical manifestation. In the daily diagnosis process, doctors need to manually go to each database to individually query the medication guidance plan, which is time-consuming and labor-intensive. Moreover, if multiple medication guidance information is queried for the sam...

AI Technical Summary

Problems solved by technology

The collection of drug guidance for cancer patients in each individual database is not comprehensive enough, and there is no prioritization of multiple drug guidance for the same clinical manifestation

In the daily diagnosis process, doctors need to manually go to each database to query the medication guidance plan separately, which is time-consuming and labor-intensive

Moreover, if multiple medication guidance information is queried for the same patient, there is no priority ordering of drugs, and it is difficult to accurately guide the medication of cancer patients

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