Title :
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
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;
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
DOI :
10.1109/BMEI.2008.84
