Patient-oriented computerized clinical guidelines for mobile decision support in gestational diabetes

Gema García-Sáez, Mercedes Rigla, Iñaki Martínez-Sarriegui, Erez Shalom, Mor Peleg, Tom Broens, Belén Pons, Estefanía Caballero-Ruíz, Enrique J. Gómez, M. Elena Hernando

Research output: Contribution to journalArticlepeer-review


The risks associated with gestational diabetes (GD) can be reduced with an active treatment able to improve glycemic control. Advances in mobile health can provide new patient-centric models for GD to create personalized health care services, increase patient independence and improve patients' self-management capabilities, and potentially improve their treatment compliance. In these models, decision-support functions play an essential role. The telemedicine system MobiGuide provides personalized medical decision support for GD patients that is based on computerized clinical guidelines and adapted to a mobile environment. The patient's access to the system is supported by a smartphone-based application that enhances the efficiency and ease of use of the system. We formalized the GD guideline into a computer-interpretable guideline (CIG). We identified several workflows that provide decision-support functionalities to patients and 4 types of personalized advice to be delivered through a mobile application at home, which is a preliminary step to providing decision-support tools in a telemedicine system: (1) therapy, to help patients to comply with medical prescriptions; (2) monitoring, to help patients to comply with monitoring instructions; (3) clinical assessment, to inform patients about their health conditions; and (4) upcoming events, to deal with patients' personal context or special events. The whole process to specify patient-oriented decision support functionalities ensures that it is based on the knowledge contained in the GD clinical guideline and thus follows evidence-based recommendations but at the same time is patient-oriented, which could enhance clinical outcomes and patients' acceptance of the whole system.

Original languageEnglish
Pages (from-to)238-246
Number of pages9
JournalJournal of diabetes science and technology
Issue number2
StatePublished - Mar 2014

Bibliographical note

Funding Information:
This study was carried out as part of the MobiGuide project partially funded by the European Commission under the 7th Framework Program, grant 287811.


  • Clinical guidelines
  • Decision support system
  • Gestational diabetes
  • Telemedicine
  • m-health

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism
  • Bioengineering
  • Biomedical Engineering


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