Open AccessManagement and Control Platform of Auxiliary Drugs Based on Big Data
Author(s) -
Shasha Wang,
Huixia Wang,
Miaomiao Miao,
Juan Li,
Dianjie Gu,
Lianghui Ding
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1744/3/032009
Subject(s) - big data , drug control , control (management) , process (computing) , computer science , plan (archaeology) , drug , data management , confusion , data science , risk analysis (engineering) , process management , engineering management , data mining , engineering , medicine , pharmacology , artificial intelligence , history , psychology , archaeology , psychoanalysis , operating system
In recent years, with the introduction of national, provincial and municipal policies, rules and regulations, and the introduction of big data technology, drug control personnel have further increased their awareness of data. However, in practice, how to carefully control drugs and make full use of big data technology to improve the level of control has become a new confusion for drug control personnel. Therefore, the purpose of this paper is to study the platform of auxiliary drug control based on big data. Based on the actual situation of drug use, this paper analyzes the main problems in the process of drug control, and designs an auxiliary drug control platform based on big data. The auxiliary drug management and control platform based on big data proposed in this paper can collect data in real time, comprehensively analyze all kinds of information, and realize intelligent management and improve the efficiency of each specific application scenario. In this paper, through the research of drug use management and control platform, doctors can get scientific guidance in formulating drug use plan, and the efficiency of drug query is improved by about 80% compared with the traditional plan. At the same time, the drug use plan can be improved in time according to the patient’s illness development in the process of drug use, which promotes the rational and standardized clinical application of drugs.