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This project will evaluate the integration into clinical care of CareHeroes, an application to support caregivers of those with Alzheimer’s disease.
This project will test the effectiveness of using patient-reported outcomes for cirrhosis collected with Patient Buddy and EncephalApp on hospital readmissions.
This project will determine the impact of using telemedicine to serve children with special healthcare needs living in rural and underserved communities.
This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
This project tested a mobile health application’s impact on reducing readmissions among patients with cirrhosis within 30 days of hospital discharge, and found it to be usable and feasible.
This project applied a user-centered design process to understand the needs and attitudes for sharing patient-collected lifelog data with providers to improve management and decision making.
This research demonstrated a shared decision-making program influencing Crohn’s disease patients’ choice of therapy and decision quality.
This project was designed to evaluate and improve the quality of screening and diagnostic colonoscopies in ambulatory care settings. Defined quality measures for colonoscopy were used in individual quality report cards with 15 measures created.
Developed, implemented, and evaluated a cooperative effort for using health IT to facilitate a continuum of appropriate medical and developmental care, from the time infants are admitted to Neonatal Intensive Care Units (NICUs), through the transition process to community-based health care services for infants most at-risk for long-term neurodevelopmental problems.