A Programmatic Approach for Extracting Medication Information from Clinical Narratives using Clojure and OpenNLP
AUTHORS
Sami Mohammed,Department of Computer Science, University of Victoria, BC, Canada
Jinan Fiaidhi,Department of Computer Science, Lakehead University, ON, Canada
Sabah Mohammed,Department of Computer Science, Lakehead University, ON, Canada
ABSTRACT
Medication information is one of the most important types of clinical data in electronic medical records. It is critical for healthcare safety and quality, as well as for clinical research that uses electronic medical record data. However, recognizing medication patterns based on general NLP techniques fail short to identify such patterns with great accuracy even if they were trained with relevant clinical treebanks or corpuses. This article describes how Clojure and OpenNLP APIs can be used to identify medication patterns and train the clinical narrative chuncker to accurately identify given medication patterns.
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