Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
---|---|---|
Article Number | 04027 | |
Number of page(s) | 4 | |
Section | Circuit Simulation, Electric Modules and Displacement Sensor | |
DOI | https://doi.org/10.1051/matecconf/201823204027 | |
Published online | 19 November 2018 |
Study On The Remote Monitoring System For Medical Insurance Prescription Of Chinese Patent Medicine
School of Computer, Jiang Xi University of Traditional Chinese Medicine, NanChang, JiangXi, China
a Corresponding author: 726531715@qq.com
Chinese patent medicine was the preparation and integration of traditional Chinese medicine in traditional Chinese medicine. It was a continuation of traditional Chinese medicine in modern society. China's hospital information construction was at a stage of development. The implementation of the medical insurance prescription monitoring system had significantly improved the level of medical insurance service management in hospitals. Based on the Eclipse platform and MYSQL database, this paper constructed a prescription insurance monitoring system for Chinese patent medicines. A visual graph of drug monitoring and medication recording was formed to determine whether there is any unreasonable phenomenon. At the same time, auxiliary diagnosis needed to input common symptoms of disease into database. According to the search, it could respond quickly, assist doctors to diagnose and improve the speed of seeking medical treatment. Prescription management recorded the prescribed prescriptions to achieve the visualization of prescription management, and achieved maximum maintainability and operability.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.