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Title:
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CHARACTERIZING THE CLINICAL LANGUAGE OF OPIOID USE DISORDER |
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Author(s):
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Terri Elizabeth Workman, Joel Kupersmith, Cynthia A. Brandt, Christopher J. Spevak and Qing Zeng-Treitler |
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ISBN:
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978-989-8704-40-5 |
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Editors:
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Piet Kommers and Mário Macedo |
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Year:
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2022 |
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Edition:
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Single |
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Keywords:
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Opioid Use Disorder, Natural Language Processing |
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Type:
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Full Paper |
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First Page:
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212 |
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Last Page:
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219 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Opioid use disorder is a global crisis, afflicting U.S. Veterans at an increased rate. Unstructured data, in the form of clinical notes from electronic health records, can potentially elucidate opioid use disorder as documented by clinicians. The authors applied natural language processing, Word2Vec, and a specialized flood-fill algorithm to Veterans Health Administration clinical notes, and incorporated the output into graphs. This process enabled identification of themes characterizing opioid use disorder by time period and care site. This work can potentially inform clinicians treating opioid use disorder, and be generalized to research for other conditions. |
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