SMARTDIAB: A Communication and Information Technology Approach for the Intelligent Monitoring, Management and Follow-up of Type 1 Diabetes Patients

Abstract

SMARTDIAB is a platform designed to support the monitoring, management, and treatment of patients with type 1 diabetes mellitus (T1DM), by combining state-of-the-art approaches in the fields of database (DB) technologies, communications, simulation algorithms, and data mining. SMARTDIAB consists mainly of two units: 1) the patient unit (PU); and 2) the patient management unit (PMU), which communicate with each other for data exchange. The PMU can be accessed by the PU through the internet using devices, such as PCs/laptops with direct internet access or mobile phones via a Wi-Fi/General Packet Radio Service access network. The PU consists of an insulin pump for subcutaneous insulin infusion to the patient and a continuous glucose measurement system. The aforementioned devices running a user-friendly application gather patient's related information and transmit it to the PMU. The PMU consists of a diabetes data management system (DDMS), a decision support system (DSS) that provides risk assessment for long-term diabetes complications, and an insulin infusion advisory system (IIAS), which reside on a Web server. The DDMS can be accessed from both medical personnel and patients, with appropriate security access rights and front-end interfaces. The DDMS, apart from being used for data storage/retrieval, provides also advanced tools for the intelligent processing of the patient's data, supporting the physician in decision making, regarding the patient's treatment. The IIAS is used to close the loop between the insulin pump and the continuous glucose monitoring system, by providing the pump with the appropriate insulin infusion rate in order to keep the patient's glucose levels within predefined limits. The pilot version of the SMARTDIAB has already been implemented, while the platform's evaluation in clinical environment is being in progress.

Special issue on emerging technologies for the management of diabetes mellitus

“…Multi-parametric monitoring systems combined with intelligent interoperable communication platforms enable remote monitoring, context awareness, integrative risk assessment, as well as automated closed-loop insulin delivery [11,16]. Within the same context, artificial pancreas (AP) is one of the major challenges for the management of insulin-treated patients with DM.…”

Diabetes Monitoring System Using Mobile Computing Technologies

“…Diabetes Mellitus (DM) is a chronic disease that is considered to be a metabolic disorder [1]. Diabetes is caused by either the absent of insulin or inability to utilize the produced insulin.…”

“…One of these proposed systems is SMARTDIAB [1] which is proposed by S.G. Mougiakakou et al in 2010. They combine state of the art approaches in database technologies, communications, simulation algorithm and data mining.…”

Decision rules extraction from data stream in the presence of changing context for diabetes treatment

“…Therefore, in most of the e-Health systems, a module for supporting medical interview is implemented. However, in the systems for the diabetes treatment, such module is rather designed to make simple aggregations (e.g., statistics or trends [49], rarely predictions [26]). Applications with knowledge extraction in a form easily understandable for a human being, for example, a decision tree [48] or decision rules [60], are rather uncommon.…”