Proposed projects may include methods and algorithms that: aggregate multi-scale clinical, biomedical, contextual, and environmental data about each patient (e.g., in EHRs, personal health records - PHR, etc.);
enable unified and extensible metadata standards; serve as decision support tools to facilitate optimized patient-centered, evidence-based decisions; evaluate the safety, effectiveness, efficiency, and clinical
outcomes of mobile health applications; integrate patient information with delivery systems performance and economic models to support operations management decisions; support inferences based on individual or population health data, multiple sources of potentially conflicting information, while complying with applicable policies and preferences; enable the secondary use of health data to support the assisted and automated discovery of reliable knowledge from aggregated population health records and the predictive modeling and simulation of health and disease. Proposals are encouraged to integrate technological, behavioral, socio-economic, value-driven actions, ethical, and systemic factors that interfere with patients' collaboration in care teams, adherence to treatment, and wellness regimens.