title: Performance assessment of a closed-loop system for diabetes management.
abstract: Telemedicine systems can play an important role in the management of diabetes, a chronic condition that is increasing worldwide. Evaluations on the consistency of information across these systems and on their performance in a real situation are still missing. This paper presents a remote monitoring system for diabetes management based on physiological sensors, mobile technologies and patient/doctor applications over a service-oriented architecture that has been evaluated in an international trial (83,905 operation records). The proposed system integrates three types of running environments and data engines in a single service-oriented architecture. This feature is used to assess key performance indicators comparing them with other type of architectures. Data sustainability across the applications has been evaluated showing better outcomes for full integrated sensors. At the same time, runtime performance of clients has been assessed spotting no differences regarding the operative environment.
authors: ITACA, Health and Wellbeing Technologies, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022, Valencia, Spain. anmarmil@itaca.upv.es.
authors: A
authors: A
authors: Martinez-Millana
authors: Life Supporting Technologies, Universidad Politécnica de Madrid, Madrid, Spain.
authors: G
authors: G
authors: Fico
authors: ITACA, Health and Wellbeing Technologies, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022, Valencia, Spain.
authors: C
authors: C
authors: Fernández-Llatas
authors: ITACA, Health and Wellbeing Technologies, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022, Valencia, Spain.
authors: V
authors: V
authors: Traver
mesh_terms: D001786:Blood Glucose / Q000032:analysis*; D003195:Computer Communication Networks; D003920:Diabetes Mellitus / Q000628:therapy*; D005260:Female; D006801:Humans; D008297:Male; D008991:Monitoring, Physiologic / Q000379:methods / Q000592:standards; D017216:Telemedicine / Q000379:methods / Q000592:standards
chemical_list: D001786:Blood Glucose
keywords: Diabetes; KPI; Performance; SOA; Sensors; Telemonitoring; mHealth