DocumentCode :
579474
Title :
Systematic Analysis of Cross-Institutional Medication Description Patterns in Clinical Notes
Author :
Sohn, Sunghwan ; Murphy, Sean P. ; Jonnalagadda, Siddhartha R. ; Wagholikar, Kavishwar ; Wu, Stephen T. ; Chute, Christopher G. ; Liu, Hongfang ; Halgrim, Scott
Author_Institution :
Mayo Clinic, Rochester, MN, USA
fYear :
2012
fDate :
27-28 Sept. 2012
Firstpage :
118
Lastpage :
118
Abstract :
In clinical notes, medication information follows certain semantic patterns and some medication descriptions contain additional word(s) between medication attributes. Therefore, it is essential to understand the semantic patterns as well as the patterns of the context interspersed among them for natural language processing tools to effectively extract comprehensive medication information. We examined both semantic and context patterns and compared those found in Mayo Clinic and i2b2 challenge data. We found that some variations exist between the institutions but the dominant patterns are common.
Keywords :
information retrieval; medical information systems; natural language processing; pattern classification; text analysis; Mayo Clinic data; clinical notes; comprehensive medication information extraction; context patterns; cross-institutional medication description pattern analysis; i2b2 challenge data; medication attributes; natural language processing tools; semantic patterns; systematic analysis; Aspirin; Biomedical imaging; Conferences; Context; Informatics; Semantics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Healthcare Informatics, Imaging and Systems Biology (HISB), 2012 IEEE Second International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-4803-4
Type :
conf
DOI :
10.1109/HISB.2012.43
Filename :
6366211
Link To Document :
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