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An intelligent listening framework for capturing encounter notes from a doctor-patient dialog

BACKGROUND: Capturing accurate and machine-interpretable primary data from clinical encounters is a challenging task, yet critical to the integrity of the practice of medicine. We explore the intriguing possibility that technology can help accurately capture structured data from the clinical encount...

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Detalles Bibliográficos
Autores principales: Klann, Jeffrey G, Szolovits, Peter
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773918/
https://www.ncbi.nlm.nih.gov/pubmed/19891797
http://dx.doi.org/10.1186/1472-6947-9-S1-S3