When a coronary care unit becomes full, an existing patient will be transferred out of intensive care and into a general medical or surgical ward in order to make room for the next arrival.
The patient transferred may have suffered a heart attack and still be at risk whilst the next patient admitted may subsequently be diagnosed to have nothing more serious than indigestion.
Queueing theory is used to develop a model which predicts the proportion of patients from each diagnostic or risk category that would be prematurely transferred as a function of the size of the unit, number of risk categories, mean arrival rates, and length of stay.
A case study is used to demonstrate how the model parameters have been estimated and the operating characteristics determined for a particular unit.
Mots-clés Pascal : File attente, Processus Poisson, Processus homogène, Processus arrivée, Unité soin intensif, Cardiopathie coronaire, Appareil circulatoire pathologie, Homme, Système santé, Modèle, Transfert, Malade, Urgence
Mots-clés Pascal anglais : Queueing theory, Poisson process, Homogeneous process, Arrival process, Intensive care units, Coronary heart disease, Cardiovascular disease, Human, Health system, Models, Transfer, Patient, Emergency
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 96-0469104
Code Inist : 002B30A01B. Création : 10/04/1997.