Using Data Mining to Forecast Drug Consumption in Pharmaceutical Logistics Center

• Main Authors: I-Hsiu Pan, 潘怡秀
• Other Authors: Hsin-Hao Huang
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/9s6wub

碩士 === 國立虎尾科技大學 === 工業管理系工業工程與管理碩士班 === 106 === After the National Health Insurance was implemented in 1995, people gradually improve the medical quality requirements, along with the economic development of Taiwan and the rise in the level of national education and the rapid ageing of the population therefore the medical quality requirements and expectations are increasingly high. But many people under the improper use of medical resources that management of the hospital is faced with great challenge and impact. So how to effectively improve the medical efficiency and the patient's medical service and then become the important target of medical service quality Management. The purpose of this study is to use data mining technology to analyze drug inventory information in pharmaceutical logistics center in order to identify the type of drug consumption and analyze the consumption of drugs under various environmental climate factors. This study uses different forecasting methods to construct a predictive model with higher reference value for different types of drug consumption. Then, the link analysis and decision tree methods are used to find out the relationship between drug consumption and external factors. The results show that under certain environmental factors, consumption can be predicted based on its relevance.