Gestational diabetes management using smart mobile telemedicine

Rigla Cros, Mercedes; Martínez Sarriegui, Iñaki; García Sáez, Gema; Pons, Belén y Hernando Pérez, María Elena (2018). Gestational diabetes management using smart mobile telemedicine. "Journal of Diabetes Science and Technology", v. 12 (n. 2); pp. 1-5. ISSN 1932-2968.


Título: Gestational diabetes management using smart mobile telemedicine
  • Rigla Cros, Mercedes
  • Martínez Sarriegui, Iñaki
  • García Sáez, Gema
  • Pons, Belén
  • Hernando Pérez, María Elena
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of Diabetes Science and Technology
Fecha: 2018
Volumen: 12
Palabras Clave Informales: Artificial intelligence; decision support; gestational diabetes; telemedicine
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Tecnología Fotónica y Bioingeniería
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Gestational diabetes (GDM) burden has been increasing progressively over the past years. Knowing that intrauterine exposure to maternal diabetes confers high risk for macrosomia as well as for future type 2 diabetes and obesity of the offspring, health care organizations try to provide effective control in spite of the limited resources. Artificial-intelligenceaugmented telemedicine has been proposed as a helpful tool to facilitate an efficient widespread medical assistance to GDM. The aim of the study we present was to test the feasibility and acceptance of a mobile decision-support system for GDM, developed in the seventh framework program MobiGuide Project, which includes computer-interpretable clinical practice guidelines, access to data from the electronic health record as well as from glucose, blood pressure, and activity sensors. The results of this pilot study with 20 patients showed that the system is feasible. Compliance of patients with blood glucose monitoring was higher than that observed in a historical group of 247 patients, similar in clinical characteristics, who had been followed up for the 3 years prior to the pilot study. A questionnaire on the use of the telemedicine system showed a high degree of acceptance.

Proyectos asociados

FP7MobiGuide ProjecSin especificarSin especificarSin especificar

Más información

ID de Registro: 49991
Identificador DC:
Identificador OAI:
Identificador DOI: 10.1177/1932296817704442
URL Oficial:
Depositado por: Memoria Investigacion
Depositado el: 07 May 2018 15:39
Ultima Modificación: 07 May 2018 15:39
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