Locating Discharge Medications in Natural Language Summaries
Abstract
The extraction of information from clinical narrative is one of the major applications of natural language processing in health care. Among the different kinds of use cases for such methods, the extraction of medications from textual summaries has been studied extensively. In this paper, we focus on a slightly modified problem of specifically locating and extracting discharge medications, as opposed to other medications mentioned in discharge summaries. We present a new algorithm for addressing the problem of locating discharge medications, along with experimental results and an overall description of how the NLP method can be integrated in an EMR-based clinical workflow.