• Group characteristics: This view provides the information that defines the aggrupation that latter we will be used for detailed analysis. We also can visualize the accuracy of the different clusters
• Detailed analysis: Once we know where (in terms of the variables of the input model) are the main concentration of readmissions, this perspective allow us to explore the details of the clinical episodes, one by one. After studying the information regarding a particular case, we will be able to find out relevant clues about the underlying and undesired cause of the readmission.
• Readmission geolocation: This view enables the user to study where the readmissions are happening using map visualization controls. With this report the user will find, if the reason of the readmission is related to the location of the patient (Where he or she comes from in the surroundings of the hospital).