Validation of a knowledge based reminder system for diagnostic test ordering in general practice.
Int J Med Inform
; 64(2-3): 341-54, 2001 Dec.
Article
em En
| MEDLINE
| ID: mdl-11734396
ABSTRACT
We describe the validation of a real-time automated reminder system that assists General Practitioners (GP) in appropriate test ordering. We compared the comments of human experts with the comments of the reminder system using a retrospective random selection of 253 request forms. A panel of three expert physicians judged the requested tests independently based on their interpretations of the practice guidelines. The majority assessment of the physicians was compared with the assessment of the reminder system. In case the system's output differed from the majority assessment the written practice guidelines were consulted. On average 1.75 reminders were produced per form. In total 32 of the 442 given reminders (7%) were given incorrectly. The amount of information and the level of detail (the specificity of the terms) in which the GP describes the patients' medical status are crucial for the reminder system to react correctly.
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Base de dados:
MEDLINE
Assunto principal:
Atenção Primária à Saúde
/
Inteligência Artificial
/
Sistemas Computadorizados de Registros Médicos
/
Sistemas de Alerta
/
Testes Diagnósticos de Rotina
Tipo de estudo:
Diagnostic_studies
/
Guideline
Limite:
Adult
/
Child
/
Humans
Idioma:
En
Revista:
Int J Med Inform
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2001
Tipo de documento:
Article
País de afiliação:
Holanda