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,...

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Detalles Bibliográficos
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:
Original Reports
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

Internet

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

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