Systematic analysis of cross-institutional medication description patterns in clinical notes

Sunghwan Sohn*, Sean P. Murphy, Siddhartha R. Jonnalagadda, Kavishwar Wagholikar, Stephen T. Wu, Christopher G. Chute, Hongfang Liu, Scott Halgrim

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.

    Original languageEnglish (US)
    Title of host publicationProceedings - 2012 IEEE 2nd Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2012
    Number of pages1
    DOIs
    StatePublished - Dec 1 2012
    Event2012 IEEE 2nd Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2012 - San Diego, CA, United States
    Duration: Sep 27 2012Sep 28 2012

    Other

    Other2012 IEEE 2nd Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2012
    CountryUnited States
    CitySan Diego, CA
    Period9/27/129/28/12

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Health Informatics
    • Health Information Management

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