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
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 95-0496240
Code Inist : 002B30A05. Création : 01/03/1996.