R language-based analysis of big data about drugs prescribed in grass root clinics
10.3969/j.issn.1671-3982.2015.03.014
- VernacularTitle:基于 R语言的基层门诊用药大数据分析
- Author:
Shuai WANG
;
Xiaodong LIN
;
Minghui SHEN
;
Ren DENG
;
Yunpeng MAO
;
Changqi FENG
;
Wen CHEN
;
Hu LONG
- Publication Type:Journal Article
- Keywords:
R language;
Drug prescription in clinics;
Big data;
Health center;
Data mining;
Association analysis
- From:Chinese Journal of Medical Library and Information Science
2015;(3):54-58
- CountryChina
- Language:Chinese
-
Abstract:
Objective To provide the evidence for health management decision-making and rational use of drugs grass root clinics by studying their drug prescription rules.Methods The prescribed drugs in clinics of 5 township health centers from September 2012 to September 2014 were retrieved from The Management Information System of Sichuan Grass Root Medical Institutions.Their big data were analyzed using R language.Results The commonly pre-scribed drugs in clinics were vitamin B6, vitamin C and cefixime tablets, which were usually used in combination. Conclusion Health administrative organizations can strengthen their supervision and management of prescribed drugs and promote their rational use in grass root clinics using unified management information system of grass root medical institutions in combination with information technology .
