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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 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 research evaluated the implementation and effectiveness of a clinical decision support tool designed to support the delivery of recommended care to hospitalized patients with heart failure, regardless of the reason for hospitalization.
This project investigated and validated the prevalence and patterns of exception reporting among physicians participating in the Cardio-HIT collaborative, a practice-based research network. The overall objectives of this study were to assess the prevalence of exception reporting, document specific reasons for exceptions, evaluate the relative accuracy of reported exceptions, and identify the location of exception data in electronic health records.
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.
Designed the implementation of a longitudinal cardiovascular disease information system platform to address disparities viewed as a lifelong disease process, and examined the impact of health IT on quality improvement, medical and financial effectiveness, and increased value.
Analyzed a patient secure messaging application for patients with depression, congestive heart failure, and diabetes, and evaluated potential for safer and more effective medical care.