SMARTDIAB: a communication and information technology approach for the intelligent monitoring, management and follow-up of type 1 diabetes patients.
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.
Mougiakakou
Stavroula G
SG
Institute of Communication and Computer Systems, National Technical University of Athens, Athens 15780, Greece. stavroula.mougiakakou@artorg.unibe.ch
Bartsocas
Christos S
CS
Bozas
Evangelos
E
Chaniotakis
Nikos
N
Iliopoulou
Dimitra
D
Kouris
Ioannis
I
Pavlopoulos
Sotiris
S
Prountzou
Aikaterini
A
Skevofilakas
Marios
M
Tsoukalis
Alexandre
A
Varotsis
Kostas
K
Vazeou
Andrianni
A
Zarkogianni
Konstantia
K
Nikita
Konstantina S
KS
D001786:Blood Glucose / Q000032:analysis; D040421:Cell Phone; D003195:Computer Communication Networks; D057225:Data Mining / Q000379:methods; D003922:Diabetes Mellitus, Type 1 / Q000628:therapy*; D019468:Disease Management; D006801:Humans; D055104:Infusions, Subcutaneous; D007332:Insulin Infusion Systems; D008491:Medical Informatics Applications; D018670:Monitoring, Ambulatory / Q000379:methods*; D017711:Nonlinear Dynamics; D013059:Spectrum Analysis, Raman; D013686:Telemetry / Q000379:methods; D014584:User-Computer Interface
D001786:Blood Glucose