TY - JOUR
T1 - Patient-oriented computerized clinical guidelines for mobile decision support in gestational diabetes
AU - García-Sáez, Gema
AU - Rigla, Mercedes
AU - Martínez-Sarriegui, Iñaki
AU - Shalom, Erez
AU - Peleg, Mor
AU - Broens, Tom
AU - Pons, Belén
AU - Caballero-Ruíz, Estefanía
AU - Gómez, Enrique J.
AU - Hernando, M. Elena
N1 - 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.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
KW - Clinical guidelines
KW - Decision support system
KW - Gestational diabetes
KW - Telemedicine
KW - m-health
UR - http://www.scopus.com/inward/record.url?scp=84900825167&partnerID=8YFLogxK
U2 - 10.1177/1932296814526492
DO - 10.1177/1932296814526492
M3 - Article
SN - 1932-2968
VL - 8
SP - 238
EP - 246
JO - Journal of diabetes science and technology
JF - Journal of diabetes science and technology
IS - 2
ER -