Study on Distribution and Trend of Innovation Technology of World Traditional Drugs Based on Patent Analysis / 中国中医药信息杂志
Chinese Journal of Information on Traditional Chinese Medicine
; (12): 102-108, 2018.
Article
in Zh
| WPRIM
| ID: wpr-707066
Responsible library:
WPRO
ABSTRACT
Objective To analyze the distribution and tends of innovation technology of traditional drugs around the world. Methods Relevant patent literature about world traditional drugs in Innography patent database was retrieved by IPC class numbers combined with keywords. The patents of traditional drugs from January 1st, 2006 to December 31st, 2016 were under statistical analysis. Frequency statistics was used for trend analysis and hot spot distribution; text clustering and correlation analysis were used for hot spot analysis; patent database was used for strength analysis, to analyze the strength of drug distribution of world traditional patent; visual charts were used to display results such as trend charts, bubble charts, tree diagrams, text clustering rings, etc.. Results In the recent years, the number of patent applications of traditional drugs has been increasing year by year. China, South Korea, Japan and the United States were the main patent applications / authorized countries. Technology innovation is mainly concentrated in the medicinal compositions, crude drugs, extracts, chemical composition and health care, etc. Digestive system diseases, pain/fever/inflammation, infection, skin diseases and so on are the hot spots of traditional drug therapy. In addition to the use of clinical treatment, traditional drugs have been widely developed as cosmetics, dietary supplements, health products, beverages and other new uses. Conclusion The number of traditional drugs patents is increasing around the world. China and the United States are the leading countries of technology innovation. Chronic and intractable diseases are the hot spots of traditional drug therapy. A variety of new uses of traditional drugs have been developed.
Full text:
1
Database:
WPRIM
Language:
Zh
Journal:
Chinese Journal of Information on Traditional Chinese Medicine
Year:
2018
Document type:
Article