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This project will develop and evaluate an an electronic dashboard to display patient reported outcomes for patients with rheumatoid arthritis that will facilitate clinician and patient conversations about their care.
This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
This project studied electronic health record use, workflow, physician-patient communication, cognitive load, and user satisfaction and found multiple factors that influence physicians' work practices and perceived workload.
This project evaluated the Pharmaceutical Safety Tracking (PhaST) system, which monitors medication safety in children and adolescents who are taking antidepressants.