Medical drug classification and query method

Abstract

The invention discloses a medical drug classification and query method, millions of drugs are divided into four categories according to drug sources, dosage forms, business habits and management requirements; in the four types of medicine management modules, the medicine management system adopting the MVC mode is matched, various kinds of information of each kind of medicine is summarized, a method of serializing the medicine information into a JSON data format is adopted, and compared with a method of transmitting files in an XML format, the exchange data amount in a network is reduced; then,the request of the information data is asynchronously read to a client browser by combining a Java technology, and the data is directly decoded; the JSON data format is combined with the Java technology to be applied to practical problem research of medicine information inquiry, inquiry efficiency is effectively improved, medicine information arrangement is rapid, accurate and simple, and therefore the traditional medicine management level is improved.

Description

technical field [0001] The invention relates to the technical field of medicine, in particular to a method for classifying and searching medical medicines. Background technique [0002] With the deepening of the reform of the medical and health system in our country, more and more pharmaceutical companies realize the importance of improving the management level of enterprises, and urgently request to speed up the process of management informationization. Although the existing major enterprises have realized the classified management of medicines, due to the wide variety of medicines, there are thousands of classification methods according to the details, and systematic management cannot be realized. During the long-term drug data entry process, there are prone to loss and confusion , resulting in a low level of medical management and time-consuming. [0003] The current mainstream medical information management data exchange formats include XML and JSON, and their common fe...

AI Technical Summary

Problems solved by technology

[0004] 1. It is difficult to modify data: Since XML uses a tree-like storage method, the query efficiency of data is very high, but the efficiency of insertion and modification is low

[0005] 2. The efficiency of massive data is low: Since XML needs to be organized through a large number of tag sets, on the one hand it brings good structure and readability, and it also leads to a large number of tag pairs in the data; on the other hand , when the amount of data is huge, the volume of the entire information also expands rapidly, the requirements for network bandwidth also increase rapidly, and the transmission efficiency decreases rapidly