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