Gestational diabetes management using smart mobile telemedicine

Rigla Cros, Mercedes and Martínez Sarriegui, Iñaki and García Sáez, Gema and Pons, Belén and 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. https://doi.org/10.1177/1932296817704442.

Description

Title: Gestational diabetes management using smart mobile telemedicine
Author/s:
  • Rigla Cros, Mercedes
  • Martínez Sarriegui, Iñaki
  • García Sáez, Gema
  • Pons, Belén
  • Hernando Pérez, María Elena
Item Type: Article
Título de Revista/Publicación: Journal of Diabetes Science and Technology
Date: 2018
ISSN: 1932-2968
Volume: 12
Subjects:
Freetext Keywords: Artificial intelligence; decision support; gestational diabetes; telemedicine
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica y Bioingeniería
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7287811MobiGuideUnspecifiedGuiding Patients Anytime Everywhere

More information

Item ID: 49991
DC Identifier: http://oa.upm.es/49991/
OAI Identifier: oai:oa.upm.es:49991
DOI: 10.1177/1932296817704442
Official URL: http://journals.sagepub.com/doi/10.1177/1932296817704442
Deposited by: Memoria Investigacion
Deposited on: 07 May 2018 15:39
Last Modified: 05 Apr 2019 15:44
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