CardioSmart365: Artificial Intelligence in the Service of Cardiologic Patients. (12th October 2012)

• Record Type: Journal Article
• Authors: Sourla, Efrosini; Sioutas, Spyros; Syrimpeis, Vasileios; Tsakalidis, Athanasios; Tzimas, Giannis
• Other Names: Vlamos Panayiotis Academic Editor.
• Is Part Of: Advances in artificial intelligence. Volume 2012(2012)
• Publication Date: 2012-10-12
• Subjects: Artificial intelligence -- Periodicals; Artificial intelligence; Periodicals; Electronic journals; 006.3
• DOI: 10.1155/2012/585072
• Languages: English
• ISSNs: 1687-7470

Abstract

Abstract : 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.