Evaluation of a semantic data model for chest radiology: Application of a new methodology

作     者：Rocha, RA Huff, SM Haug, PJ Evans, DA Bray, BE 

作者机构：Univ Fed Parana Dept Cirurgia BR-80060000 Curitiba Parana Brazil Univ Utah Dept Med Informat Salt Lake City UT 84112 USA CLARITECH Corp Pittsburgh PA USA 

出 版 物：《METHODS OF INFORMATION IN MEDICINE》 (Methods Inf. Med.)

年 卷 期：1998年第37卷第4-5期

页      面：477-490页

核心收录：

学科分类：1204[管理学-公共管理] 1001[医学-基础医学(可授医学、理学学位)] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

基　　金：AHRQ HHS [1 R03 HS 08053-01] Funding Source: Medline 

主　　题：data model evaluation information extraction text encoding 

摘      要：An essential step toward the effective processing of the medical language is the development of representational models that formalize the language semantics. These models, also known as semantic data models, help to unlock the meaning of descriptive expressions, making them accessible to computer systems. The present study tries to determine the quality of a semantic data model created to encode chest radiology findings. The evaluation methodology relied on the ability of physicians to extract information from textual and encoded representations of chest X-ray reports, whilst answering questions associated with each report, The evaluation demonstrated that the encoded reports seemed to have the same information content of the original textual reports. The methodology generated useful data regarding the quality of the data model, demonstrating that certain segments were creating ambiguous representations and that some details were not being represented.