MobiGuide develops an intelligent system for patients with chronic illnesses such as cardiac arrhythmias, diabetes and high blood pressure. The patient wears sensors to monitor their biosignals (eg heart rate, blood pressure or blood sugar). The biosignals are sent to their smart phone and from there to a powerful "back-end" computer.

The MobiGuide system analyses the data and gives intelligent advice and guidance to help the patient manage their condition, assess the effectiveness of therapies and take timely clinical decisions when required. The analysis concerns signal data, hospital data, abstractions identified in the data and events generated by the decision-support system (DSS). The advice of the MobiGuide's decision-support system is based on formalization of clinical guidelines, therefore on the best available clinical evidence, yet it is personalized to the patient's personal and technological context. Decision-support (DS) can be provided to patients and care providers anytime, everywhere; when the patient has Internet connection to the main DSS and complete personal health record, but also light-weight DS may be provided by the mobile system when there is no connectivity, based on fragments of guideline logic kept on the Smartphone and interaction with wearable sensor data. During the project we focus on the clinical conditions: atrial fibrillation, gestational diabetes and gestational hypertension.