Extracting Clinical Features From Dictated Ambulatory Consult Notes Using a Commercially Available Natural Language Processing Tool: Pilot, Retrospective, Cross-Sectional Validation Study

BACKGROUND: The increasing adoption of electronic health records (EHRs) in clinical practice holds the promise of improving care and advancing research by serving as a rich source of data, but most EHRs allow clinicians to enter data in a text format without much structure. Natural language processi...

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Detalles Bibliográficos
Autores principales: Petch, Jeremy, Batt, Jane, Murray, Joshua, Mamdani, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913750/
https://www.ncbi.nlm.nih.gov/pubmed/31682579
http://dx.doi.org/10.2196/12575

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913750/
https://www.ncbi.nlm.nih.gov/pubmed/31682579
http://dx.doi.org/10.2196/12575

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