Approaches to predictive modeling.
National symposium on using outcomes data to improve clinical practice : building on models from cardiac surgery. Keystone CO USA, 1994/06/06.
A four-component clinical model for process improvement is presented : (1) patient-related risk factors, (2) clinical processes ordered by the attending physician, (3) the hospital's execution of the physician's plan, and (4) the patient's outcome, or outcomes, resulting from the first three factors.
The goal of risk adjustment in the analysis of quality of care is to account for the contribution of patient-related risk factors, so that the patient's outcome can be used as an indicator of the care ordered by the physician and executed by the hospital.
Risk adjustment is usually accomplished by comparing the patient's predicted outcome, based on the patient's risk factors, to the observed outcome.
Mots-clés Pascal : Modèle, Pronostic, Facteur risque, Homme, Traitement
Mots-clés Pascal anglais : Models, Prognosis, Risk factor, Human, Treatment
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 95-0127277
Code Inist : 002B30A11. Création : 09/06/1995.