TY - GEN
T1 - An ontology-driven personalization framework for designing theory-driven self-management interventions
AU - Abidi, Syed Sibte Raza
AU - Abidi, Samina
PY - 2013
Y1 - 2013
N2 - We present a patient-centered self-management framework that aims to assist individuals to achieve self-efficacy in terms of self-management of their chronic condition. We have incorporated an evidence-driven behavior model-i.e. the Social Cognition Theory (SCT)-to personalize the selfmanagement educational content based on the individual's health and psychosocial profile. We have taken a knowledge management approach to the development of the self-management framework where we have modeled the SCT, educational content and strategies, assessment tools and the personalization logic using an OWL-DL based ontology. The execution of the knowledge encapsulated within the SCT ontology allows for the dynamic generation of a patient's profile and the selection of the relevant self-management strategies, educational and motivational messages. We applied our self-management framework to develop a self-management program for cardiac conditions.
AB - We present a patient-centered self-management framework that aims to assist individuals to achieve self-efficacy in terms of self-management of their chronic condition. We have incorporated an evidence-driven behavior model-i.e. the Social Cognition Theory (SCT)-to personalize the selfmanagement educational content based on the individual's health and psychosocial profile. We have taken a knowledge management approach to the development of the self-management framework where we have modeled the SCT, educational content and strategies, assessment tools and the personalization logic using an OWL-DL based ontology. The execution of the knowledge encapsulated within the SCT ontology allows for the dynamic generation of a patient's profile and the selection of the relevant self-management strategies, educational and motivational messages. We applied our self-management framework to develop a self-management program for cardiac conditions.
UR - http://www.scopus.com/inward/record.url?scp=84893422573&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893422573&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-03916-9_8
DO - 10.1007/978-3-319-03916-9_8
M3 - Conference contribution
AN - SCOPUS:84893422573
SN - 9783319039152
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 97
EP - 112
BT - Process Support and Knowledge Representation in Health Care - AIME 2013 Joint Workshop, KR4HC 2013/ProHealth 2013, Revised Selected Papers
T2 - AIME 2013 Joint Workshop on Knowledge Representation for Healthcare and Process-Oriented Information Systems in Healthcare, KR4HC 2013/ProHealth 2013
Y2 - 1 June 2013 through 1 June 2013
ER -