Title :
Personalized message emission in a mobile application for supporting therapeutic adherence
Author :
Uribe, J.A. ; Duitama, J.F. ; Gomez, N.G.
Author_Institution :
Comput. Sci. Dept., Univ. of Antioquia, Medellin, Colombia
Abstract :
Often chronic patients fail to follow all the recommendations in their treatments. This affects their health and increases the costs associated with their care. To help these patients to follow their therapy this paper proposes a recall and guide system implemented on a mobile device. The system emits custom messages according to the patient´s inferred mental state with the intention of persuading him to adhere to his medical prescriptions. To achieve personalization, the system uses ontologies to classify the messages and to model the user. When it is necessary to issue a reminder, the selection of the message is obtained by querying the relationships between the patient´s current model and the discourse ontology.
Keywords :
diseases; mobile computing; mobile handsets; ontologies (artificial intelligence); patient treatment; pattern classification; chronic patients; guide system; medical prescriptions; message classification; mobile application; ontologies; patient current model; patient inferred mental state; personalized message emission; recall system; therapeutic adherence support; Adaptation models; Maintenance engineering; Medical diagnostic imaging; Medical treatment; Mobile communication; Ontologies; System-on-a-chip; Message Personalization; Mobile Application; Ontology User Model; Stages of Change; Therapeutic Adherence;
Conference_Titel :
e-Health Networking Applications and Services (Healthcom), 2011 13th IEEE International Conference on
Conference_Location :
Columbia, MO
Print_ISBN :
978-1-61284-695-8
Electronic_ISBN :
978-1-61284-696-5
DOI :
10.1109/HEALTH.2011.6026734
