A Comparison of Veterans with Problematic Opioid Use Identified through Natural Language Processing of Clinical Notes versus Using Diagnostic Codes

A Comparison of Veterans with Problematic Opioid Use Identified through Natural Language Processing of Clinical Notes versus Using Diagnostic Codes

Opioid use disorder is known to be under-coded as a diagnosis, yet problematic opioid use can be documented in clinical notes, which are included in electronic health records. We sought to identify problematic opioid use from a full range of clinical notes and compare the demographic and clinical ch...

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Bibliographic Details
Main Authors: Terri Elizabeth Workman, Joel Kupersmith, Phillip Ma, Christopher Spevak, Friedhelm Sandbrink, Yan Cheng, Qing Zeng-Treitler
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Healthcare
Subjects:
opioid misuse documentation
Veterans
natural language processing
machine learning
demographic data
comorbidities
Online Access:https://www.mdpi.com/2227-9032/12/7/799

Internet

https://www.mdpi.com/2227-9032/12/7/799

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