Text mining electronic health records to identify hospital adverse events.
Stud Health Technol Inform
; 192: 1145, 2013.
Article
em En
| MEDLINE
| ID: mdl-23920919
ABSTRACT
Manual reviews of health records to identify possible adverse events are time consuming. We are developing a method based on natural language processing to quickly search electronic health records for common triggers and adverse events. Our results agree fairly well with those obtained using manual reviews, and we therefore believe that it is possible to develop automatic tools for monitoring aspects of patient safety.
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Base de dados:
MEDLINE
Assunto principal:
Gestão de Riscos
/
Algoritmos
/
Processamento de Linguagem Natural
/
Inteligência Artificial
/
Erros Médicos
/
Úlcera por Pressão
/
Mineração de Dados
Tipo de estudo:
Diagnostic_studies
/
Etiology_studies
/
Prognostic_studies
Limite:
Humans
País como assunto:
Europa
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article