A Compositional Personalization Approach for Designing Personalized Patient Educational Interventions for Cardiovascular Risk Management

Providing patients with personalized educational messages can improve self-management of Cardiovascular Disease (CVD) risk factors. We present our compositional personalization approach that generates personalized educational material by dynamically selecting fine-grained information snippets, as per the patient profile, and then synthesizing them in a educational template to yield personalized patient education interventions. We apply our personalization approach in the PULSE system--Personalization Using Linkages of SCORE and behavior change readiness to web-based Education--that generates personalized patient education for CVD risk management. The PULSE framework involves the calculation of CVD risk assessment using the Systematic COronary Risk Evaluation (SCORE) algorithm, the estimation of readiness to change using the Transtheoretical Model (TTM) of intentional behavior change. The educational interventions were derived from evidence-based staged lifestyle modification materials and Canadian guidelines for CVD risk management.