摘要
目的使用数据挖掘技术能够对广东省统计病案数据库中数据进行自动分析并提供有价值的资料,为医院各项管理决策提供有力支持。方法介绍数据挖掘的概念与主要任务,阐明数据源与相关数据表格各种维度。结果对数据挖掘技术在医院管理中医师工作量、主要病种、科室综合评价、医疗工作质量与同期费用对比等具体运用进行分析研究,得到临床科室和决策者的肯定与支持。结论统计人员要加强数据挖掘学习,深化统计内涵,提高统计分析的质量;结合新医改使用数据挖掘技术能体现医院的、科室的、医师个人的药品情况、医疗耗材情况、医疗性收入情况与收治病人情况等,提高医院管理效率,增强医院管理决策的科学性。
Objective To use data mining technology to analyze and provide valuable information for the data of Guangdong province's statistical medical record database, and to provide strong support for hospital management decision-making. Methods We introduced the concept and main task of data mining, and clarified the various dimensions of data source and related data table. Results We conducted the analysis and study on the application of data mining technology in the management of the hospital including doctors' workloads, the main diseases, comprehensive assessment of the departments, the quality of medical work and the cost of the same period, and got affirmation and support of the clinical departments and decision makers. Conclusion It is suggested that statisticians should strengthen the research of NC mining, deepen the statistical connotation and improve the quality of statistical analysis. Combining with the new medical reform, the data mining technology can reflect the situation of the hospital, of the departments, of the doctors, such as medical supplies and medical income, and the situation of patients treated, it can also improve hospital management efficiency, and enhance the scientific management of hospital management.
出处
《中国医院统计》
2017年第3期179-183,共5页
Chinese Journal of Hospital Statistics
关键词
数据挖掘
广东省
统计病案
数据库
医院管理
data mining
Guangdong
statistical medical record
database
hospital management