An important challenge in the rare diseases context is helping the patient and its caregivers to pop the bubble of alienation that is naturally created when diagnosed with such a rare condition. The facility to record, store, share and access information is a key link that is still missing in the daily management of rare pathologies. CloudIA has the aim of empowering the patient and exploiting new technologies to bring the patient-clinician communication to a new level. We propose an app-based platform where the patient can create its own diary with daily record of health status, share it with the clinician, receive and send to caregivers alarms in case data mining techniques identify critical situations from the data, access and log practical information about the reference centers and association providing support. Moreover, the daily logs are obtained through the guidance of a virtual personal assistant, with whom the patient can interact via speech, enabled by voice recognition technology. The assistant will guide the patient towards a correct and complete report of its status, through a set of focused question that constantly adapt, in real time, to the specific pathology and to the patient’s condition. Then machine learning algorithms analyze the answers, recognize their meaning and interpret the gathered information to reach a meaningful assessment of the condition. This innovative modality of interaction matches the need of a faster, simpler and more effective information communication.