The Exploration of Characteristic Pricing Methods for Traditional Chinese Patent Medicines Based on Information Entropy Theory
- VernacularTitle:基于信息熵理论的中成药特征价格取值方法探析
- Author:
Yijiu YANG
1
;
Haili ZHANG
;
Bin LIU
;
Ning LIANG
;
Huizhen LI
;
Tian SONG
;
Wenjie CAO
;
Ziteng HU
;
Yanping WANG
;
Sheng HAN
;
Nannan SHI
Author Information
1. 中国中医科学院中医临床基础医学研究所 北京 100700
- Publication Type:Journal Article
- Keywords:
information entropy;
characteristic price;
traditional Chinese patent medicines;
value pricing
- From:
Chinese Health Economics
2025;44(2):13-17
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the method for selecting characteristic prices of Chinese patent medicines based on informa-tion entropy theory.It involves analyzing the connotative differences among various price indicators and utilizing information entropy metrics to validate the scientific rigor of characteristic price selection so as to optimize the pricing model for Chinese patent medi-cines and improve the accuracy of price evaluation.Methods:A correlation analysis and information entropy calculation are con-ducted on the median price of the smallest preparation unit,average daily cost,and average course cost of TCM.It compares the information diversity and uncertainty of different pricing indicators.Results:The average daily cost exhibits the highest information diversity and uncertainty among all the pricing indicators examined.Conclusion:It is recommended that the average daily cost be used as the dependent variable for characteristic prices in TCM pricing research.This choice plays an important role in optimizing TCM pricing models and enhancing the accuracy of price evaluation.
