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Evaluation of a knowledge-based decision-support system for ventilator therapy management.
Shahsavar, N; Ludwigs, U; Blomqvist, H; Gill, H; Wigertz, O; Matell, G.
Afiliación
  • Shahsavar N; Department of Medical Informatics, Linköping University, Sweden.
Artif Intell Med ; 7(1): 37-52, 1995 Feb.
Article en En | MEDLINE | ID: mdl-7795715
Evaluation of knowledge-based systems differs from that of conventional systems in terms of verification and validation techniques. Furthermore, evaluating medical decision-support systems is difficult because the field is thus far comparatively unexplored. This paper presents an evaluation of a medical knowledge-based system called VentEx that supports decision-making in the management of ventilator therapy. Real patient data from 1300 hours of patient care involving 12 patients with 6 diagnoses are used to validate the knowledge base. The results range from 4.5% to 15.6% disagreement between the setting recommendations produced by VentEx and a gold standard, and 22.2% disagreement for recommendations for weaning. A comparison between the standard and two physicians showed that VentEx produced advice of the same quality as the physicians.
Asunto(s)
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Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Respiración Artificial / Sistemas Especialistas / Terapia Asistida por Computador / Desconexión del Ventilador Tipo de estudio: Guideline / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Artif Intell Med Asunto de la revista: INFORMATICA MEDICA Año: 1995 Tipo del documento: Article País de afiliación: Suecia
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Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Respiración Artificial / Sistemas Especialistas / Terapia Asistida por Computador / Desconexión del Ventilador Tipo de estudio: Guideline / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Artif Intell Med Asunto de la revista: INFORMATICA MEDICA Año: 1995 Tipo del documento: Article País de afiliación: Suecia