Medication decision-making support method based on drug knowledge map reasoning

Abstract

The invention discloses a medication decision-making support method based on drug knowledge map reasoning. According to the method, a patient interaction module, a medication decision-making support module and the like are arranged. The patient interaction module is used for acquiring pathophysiological information by means of voice interaction and check interaction and the like, thereby providingassistance for a doctor for prescription. The medication decision-making support module includes a treatment medication recommendation sub module and a safety medication examination sub module. The treatment medication recommendation sub module recommends one or more kinds of drugs for the doctor for prescription preliminarily based on information including patient diseases, taboos, and allergensand being obtained by the patient interaction module as well as drug information in a drug knowledge map; and the safety medication examination sub module is used for carrying out examination based on the medication safety situation of the patient by the patient. According to the method, drug recommendation is provided automatically by using the drug knowledge map and the pathophysiological information of the patient; and the doctor is assisted in make prescription and the drugs based on the prescription is processed by safety examination. Therefore, the basic information acquisition time ofthe patient by the doctor is saved; the doctor's diagnosis and treatment efficiency is improved obviously; and the safety of clinical medication is enhanced.

Description

technical field [0001] The invention relates to the field of medical knowledge graphs, in particular to a medication decision support method based on drug knowledge graph reasoning. Background technique [0002] Deepening the reform of the medical and health system is a systematic project involving a wide range of areas and great difficulty. On the one hand, my country's medical resources are in short supply, and there is a phenomenon of "difficult to see a doctor and expensive to see a doctor". For example, more than half of epilepsy patients have not received treatment or received informal treatment; Drug abuse" pays the bill, and the economic loss caused by the abuse of antibiotics reaches more than one billion yuan every year. At the same time, due to non-standard medication, the incidents of adverse reactions of patients are also increasing year by year, and the medical disputes caused by this also consume a lot of time and energy of the hospital. [0003] With the adv...

AI Technical Summary

Problems solved by technology

The diversity of drugs and the different pathological characteristics of patients complicate drug treatment. Many factors will affect t

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