Table of Contents
Advances in Artificial Intelligence
Volume 2012, Article ID 585072, 12 pages
Research Article

CardioSmart365: Artificial Intelligence in the Service of Cardiologic Patients

1Computer Engineering & Informatics Department, University of Patras, 26500 Patras, Greece
2Department of Informatics, Ionian University, 49100 Corfu, Greece
3General Hospital of Patras “Agios Andreas”, 26335 Patras, Greece
4Department of Applied Informatics in Management & Economy, Faculty of Management and Economics, Technological Educational Institute of Messolonghi, 30200 Messolonghi, Greece

Received 29 June 2012; Accepted 11 September 2012

Academic Editor: Panayiotis Vlamos

Copyright © 2012 Efrosini Sourla et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Artificial intelligence has significantly contributed in the evolution of medical informatics and biomedicine, providing a variety of tools available to be exploited, from rule-based expert systems and fuzzy logic to neural networks and genetic algorithms. Moreover, familiarizing people with smartphones and the constantly growing use of medical-related mobile applications enables complete and systematic monitoring of a series of chronic diseases both by health professionals and patients. In this work, we propose an integrated system for monitoring and early notification for patients suffering from heart diseases. CardioSmart365 consists of web applications, smartphone native applications, decision support systems, and web services that allow interaction and communication among end users: cardiologists, patients, and general doctors. The key features of the proposed solution are (a) recording and management of patients' measurements of vital signs performed at home on regular basis (blood pressure, blood glucose, oxygen saturation, weight, and height), (b) management of patients' EMRs, (c) cardiologic patient modules for the most common heart diseases, (d) decision support systems based on fuzzy logic, (e) integrated message management module for optimal communication between end users and instant notifications, and (f) interconnection to Microsoft HealthVault platform. CardioSmart365 contributes to the effort for optimal patient monitoring at home and early response in cases of emergency.