Quality assurance improves health care through detection of quality problems and feedback to the care giver.
Current review procedures employed by the Peer Review Organizations (PROs), however, appear to underdetect quality problems, particularly those arising from diagnostic errors.
We studied the use of an expert diagnostic system, Iliad, to detect quality problems arising from diagnostic errors.
One hundred cases were selected from among those Medicare cases reviewed by the Utah PRO (UPRO) and which contained diagnoses recognized by Iliad.
Mots-clés Pascal : Assurance qualité, Diagnostic, Erreur, Aide diagnostic, Système expert, Détection erreur, Informatique biomédicale
Mots-clés Pascal anglais : Quality assurance, Diagnosis, Error, Diagnostic aid, Expert system, Error detection, Biomedical data processing
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 92-0562862
Code Inist : 002B28H. Création : 199406.