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 project informed Stage 3 Meaningful Use requirements by evaluating metrics related to identification of delirium in real time and improving accuracy of the problem list, thus potentially improving care for patients with delirium.
This project developed and piloted a patient-centered clinical decision support tool that was used in emergency department management of minor head injury and found high patient and clinician satisfaction and usability.
This project developed PocketBuddy, a handheld technology for aging adults to assist in caregiving activities, monitoring the well-being of both the caregiver and the person being cared for, and capturing information on the home environments.