This research will create the Shared Decision Aid Navigator System to improve the implementation, integration, and scaling of patient shared decision aids into health informatics systems, aiding shared decision making and improving patient-centered outcomes.
This research evaluates an artificial intelligence risk predictive tool called CoMET that uses visual outputs of patient data to serve as an early warning system for patients at risk of cardiac decompensation to allow for earlier intervention and reduction in morbidity and mortality.
This research will refine a current health information exchange platform to improve data exchange for inter-hospital transfers, evaluate its impact, and create a dissemination toolkit so that others may adopt this model.
