Finding Potential Adverse Events in the Unstructured Text of Electronic Health Care Records: Development of the Shakespeare Method.

Bright, Roselie A; Rankin, Summer K; Dowdy, Katherine; Blok, Sergey V; Bright, Susan J; Palmer, Lee Anne M

Bright, Roselie A; Rankin, Summer K; Dowdy, Katherine; Blok, Sergey V; Bright, Susan J; Palmer, Lee Anne M.

Afiliación

Bright RA; US Food and Drug Administration, Silver Spring, MD, United States.
Rankin SK; Booz Allen Hamilton, McLean, VA, United States.
Dowdy K; Booz Allen Hamilton, McLean, VA, United States.
Blok SV; Booz Allen Hamilton, McLean, VA, United States.
Bright SJ; US Food and Drug Administration, Rockville, MD, United States.
Palmer LAM; US Food and Drug Administration, Rockville, MD, United States.

JMIRx Med ; 2(3): e27017, 2021 Aug 11.

Article en En | MEDLINE | ID: mdl-37725533

Palabras clave

big data; critical care; electronic health care record; electronic health record; epidemiology; natural language processing; patient harm; patient safety; product surveillance, postmarketing; proof-of-concept study; public health

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIRx Med Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Canadá

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