Cargando…
Using natural language processing of clinical text to enhance identification of opioid‐related overdoses in electronic health records data
PURPOSE: To enhance automated methods for accurately identifying opioid‐related overdoses and classifying types of overdose using electronic health record (EHR) databases. METHODS: We developed a natural language processing (NLP) software application to code clinical text documentation of overdose,...
Autores principales: | Hazlehurst, Brian, Green, Carla A., Perrin, Nancy A., Brandes, John, Carrell, David S., Baer, Andrew, DeVeaugh‐Geiss, Angela, Coplan, Paul M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6772185/ https://www.ncbi.nlm.nih.gov/pubmed/31218780 http://dx.doi.org/10.1002/pds.4810 |
Ejemplares similares
-
Development of an algorithm to identify inpatient opioid‐related overdoses and oversedation using electronic data
por: Green, Carla A., et al.
Publicado: (2019) -
Identifying and classifying opioid‐related overdoses: A validation study
por: Green, Carla A., et al.
Publicado: (2019) -
Measuring problem prescription opioid use among patients receiving long-term opioid analgesic treatment: development and evaluation of an algorithm for use in EHR and claims data
por: Carrell, David S., et al.
Publicado: (2020) -
Protocol: changes in rates of opioid overdose and poisoning events in an integrated health system following the introduction of a formulation of OxyContin® with abuse-deterrent properties
por: Janoff, Shannon L., et al.
Publicado: (2016) -
Characterizing non-heroin opioid overdoses using electronic health records
por: Averitt, Amelia J, et al.
Publicado: (2019)