Decision-making, especially about test performance, is very complex in nature.
Clinical decision analysis can provide tools for doctors which can be used in improving the ordering of laboratory tests.
This article describes an approach which is relevant for medical practice and easy to understand, with the goal of obtaining better decisions rather than optimal solutions.
The methodology enables a clear understanding of the possibilities and restrictions of test use and needs very little calculation.
The cornerstone of the methodology is a graphical representation, by which the benefits of test use are evaluated.
Furthermore, a simple algorithm has been developed that can be used to rind the optimal solution in the case of two tests.
Mots-clés Pascal : Aide décision, Diagnostic, Examen laboratoire, Prescription, Optimisation, Technique associée, Représentation graphique, Sensibilité, Spécificité, Evaluation performance, Méthodologie, Analyse avantage coût, Informatique biomédicale, Economie santé
Mots-clés Pascal anglais : Decision aid, Diagnosis, Laboratory investigations, Prescription, Optimization, Associated technique, Graphics, Sensitivity, Specificity, Performance evaluation, Methodology, Cost benefit analysis, Biomedical data processing, Health economy
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 94-0112014
Code Inist : 002B28C. Création : 199406.