Assessment of Natural Language Processing of Electronic Health Records to Measure Goals-of-Care Discussions as a Clinical Trial Outcome

IMPORTANCE: Many clinical trial outcomes are documented in free-text electronic health records (EHRs), making manual data collection costly and infeasible at scale. Natural language processing (NLP) is a promising approach for measuring such outcomes efficiently, but ignoring NLP-related misclassifi...

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Detalles Bibliográficos
Autores principales: Lee, Robert Y., Kross, Erin K., Torrence, Janaki, Li, Kevin S., Sibley, James, Cohen, Trevor, Lober, William B., Engelberg, Ruth A., Curtis, J. Randall
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982698/
https://www.ncbi.nlm.nih.gov/pubmed/36862411
http://dx.doi.org/10.1001/jamanetworkopen.2023.1204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982698/
https://www.ncbi.nlm.nih.gov/pubmed/36862411
http://dx.doi.org/10.1001/jamanetworkopen.2023.1204

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