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  1. Fulltext. A model for medical decision making and problem solving.

    Article, Communication - En anglais


    Annual Arnold O. Beckman conference in clinical chemistry. Charleston SC USA, 1995/02/05.

    Clinicians confront the classical problem of decision making under uncertainty, but a universal procedure by which they deal with this situation, both in diagnosis and therapy, can be defined.

    This consists in the choice of a specific course of action from available alternatives so as to reduce uncertainty.

    Formal analysis evidences that the expected value of this process depends on the a priori probabilities confronted, the discriminatory power of the action chosen, and the values and costs associated with possible outcomes.

    Clinical problem-solving represents the construction of a systematic strategy from multiple decisional building blocks.

    Depending on the level of uncertainty the physicians attach to their working hypothesis, they can choose among at least four prototype strategies : pattern recognition, the hypothetico-deductive process, arborization, and exhaustion.

    However, the resolution of real-life problems can involve a combination of these game plans.

    Formal analysis of each strategy permits definition of its appropriate a priori probabilities, action characteristics, and cost implications.

    Mots-clés Pascal : Médecin, Biologie clinique, Personnel sanitaire, Homme, Diagnostic, Prise décision, Modèle, Résolution problème

    Mots-clés Pascal anglais : Physician, Clinical biology, Health staff, Human, Diagnosis, Decision making, Models, Problem solving

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 95-0496240

    Code Inist : 002B30A05. Création : 01/03/1996.