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Personalized patient empowerment and shared decision support for cardiorenal disease and comorbidities (CARRE)
Start date: Nov 1, 2013, End date: Oct 31, 2016 PROJECT  FINISHED 

CARRE addresses comorbidity management via an approach that first fosters understanding of the complex interdependent nature of comorbidities in general and as specialized for the specific patient, then calculates informed estimations for disease progression and comorbidity trajectories, and finally compiles a variety of personalized alerting, planning and educational services so that patients (and professionals) are empowered and can make shared informed decisions. CARRE research aims at a technological infrastructure for visual understanding of disease progression pathways and comorbidity trajectories, enriched with medical evidence and personalized for the individual patient. Based on this, CARRE will develop personalized shared decision support services for the patient & the professional. CARRE innovation lies in semantic interlinking of 3 types of data (a) medical ground knowledge; (b) up-to-date medical evidence; and (c) personal patient data, in order to create a personalized model of the disease and comorbidities progression pathways. Visual presentations of this personalized model (against ground knowledge and against statistical views of 'similar' patient groups) will form the basis for patient empowerment services. Finally, the personalized model of comorbidities will be used for shared decision support services targeting personalized education, complex risk calculation for disease & comorbidities progression, alerts for adverse events of multiple treatments and personalized planning. The ultimate goal is to provide the means for patients with comorbidities to take an active role in care processes, including self-care and shared decision making, and also to support medical professionals in understanding and treating comorbidities via an integrative approach. CARRE will address the specific medical domain of cardiorenal disease comorbidities and will provide proof-of-concept via deployment and validation in two different healthcare settings.
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