Abstract
Thirty day readmission rate is an important quality estimator for hospitals.
Confident tools that forecast this risk for each patient before hospital discharge are needed by medical staff in order to delay the discharge and to plan additional home care interventions.
This paper presents a proposal for a multi agent system that will evaluate this risk by integrating information from each patient and historical data fromlocal and remote medical histories.
This systems will not only help with the hospital discharge decision, but it will integrate a basic telecare system in order to reduce readmissions and increment patient quality of life by detecting problems
arisen after hospital discharge.
