Data Collection Standards for Knowledge Base of Famous Traditional Chinese Medicine Expert
- VernacularTitle:中医名医名家知识库数据采集规范研究
- Author:
Qiong WANG
1
;
Yumeng DING
;
Rong XU
Author Information
1. 中国中医科学院广安门医院 北京 100053
- Publication Type:Journal Article
- Keywords:
famous Traditional Chinese Medicine expert;
knowledge base;
data collection;
Delphi method
- From:
Chinese Hospital Management
2025;45(11):86-89
- CountryChina
- Language:Chinese
-
Abstract:
Objective It aims to establish data collection standards for the knowledge base of famous Traditional Chinese Medicine experts.Method A preliminary draft of the Data Collection Standards for the Knowledge Base of famous Traditional Chinese Medicine Experts was developed through literatureretrieval,expert interviews,and research group discussions.Two rounds of expert inquiries were conducted by Delphi method with 16 experts from disciplines such as medical informatics,library and information science,medical history and literature,and clinical Chinese medicine.It screened the core content through the Delphi method and formulated data collection standards.Result 59 articles were selected,and an expert inquiry form with 34 items was initially developed,including four aspects:data collection objects,data collection content,data collection and management,data collection principles and requirements.The positive coefficient of the two rounds of expert inquiry was 1,and the authoritative coefficient score was(0.94±0.06)points.The coefficient of variation of the two rounds of inquiry items were 0.113±0.043 and 0.069±0.041,respectively.The Kendall's Wcoefficients were 0.491 and 0.828,P＜0.01.Finally,a data collection standards for the knowledge base of famous Traditional Chinese Medicine experts with 31 items was formed.Conclusion The data collection content and standards of the famous doctors and experts knowledge base constructed by Delphi method have a high degree of expert recognition and consistency,which can provide standards and basis for the construction of the base in the future.
