A Multiagent System Proposal for 30 Day Readmission Problem Management

Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 38)


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 from local 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.


Multiagent system Learning agents Decision support systems in healthcare Machine learning 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.DISCA, Universitat Politècnia de ValènciaValenciaSpain
  2. 2.RIS-Itaca, Universitat Politècnia de ValènciaValenciaSpain
  3. 3.DACYA, Universidad Complutense de MadridMadridSpain
  4. 4.IBIME-Itaca, Universitat Politècnia de ValènciaValenciaSpain

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