Factuality levels of diagnoses in Swedish clinical text.
Stud Health Technol Inform
; 169: 559-63, 2011.
Article
em En
| MEDLINE
| ID: mdl-21893811
ABSTRACT
Different levels of knowledge certainty, or factuality levels, are expressed in clinical health record documentation. This information is currently not fully exploited, as the subtleties expressed in natural language cannot easily be machine analyzed. Extracting relevant information from knowledge-intensive resources such as electronic health records can be used for improving health care in general by e.g. building automated information access systems. We present an annotation model of six factuality levels linked to diagnoses in Swedish clinical assessments from an emergency ward. Our main findings are that overall agreement is fairly high (0.7/0.58 F-measure, 0.73/0.6 Cohen's κ, Intra/Inter). These distinctions are important for knowledge models, since only approx. 50% of the diagnoses are affirmed with certainty. Moreover, our results indicate that there are patterns inherent in the diagnosis expressions themselves conveying factuality levels, showing that certainty is not only dependent on context cues.
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Coleções:
01-internacional
Contexto em Saúde:
1_ASSA2030
Base de dados:
MEDLINE
Assunto principal:
Sistemas de Apoio a Decisões Clínicas
/
Serviços Médicos de Emergência
/
Registros Eletrônicos de Saúde
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
País/Região como assunto:
Europa
Idioma:
En
Revista:
Stud Health Technol Inform
Ano de publicação:
2011
Tipo de documento:
Article