Structuralization of Digestive Endoscopic Report Based on NLP

Author

Li, Ying ; Li, Junjie ; Duan, Huilong ; Lu, Xudong

Author_Institution

Key Lab. of Biomed. Eng., Zhejiang Univ., Hangzhou

Volume

1

fYear

2008

fDate

27-30 May 2008

Firstpage

920

Lastpage

923

Abstract

It is an inevitable transition from paper-based medical records to electronic medical records (EMR). EMR´s structuralization and standardization are important for efficient information retrieve and sharing. Presently, natural language processing (NLP) and structured data entry (SDE) are two different methods realizing EMR´s structuralizaion. Because SDE limits doctors´ free expression, this paper designs a system based on NLP and minimal standard terminology (MST) that automatically maps digestive endoscopic narrative records to structured MST records and its accuracy is 92.3%.

Keywords

biomedical optical imaging; endoscopes; information retrieval; medical information systems; natural language processing; digestive endoscopic report; electronic medical records; information retrieval; information sharing; minimal standard terminology; natural language processing; structured data entry; Biomedical engineering; Biomedical informatics; Educational institutions; Endoscopes; Gastrointestinal tract; Information retrieval; Instruments; Natural language processing; Terminology; Tin; MST; NLP; Structuralization;

fLanguage

English

Publisher

ieee

Conference_Titel

BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on

Conference_Location

Sanya

Print_ISBN

978-0-7695-3118-2

Type

conf

DOI

10.1109/BMEI.2008.84

Filename

4548805