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This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
This project will develop and test a Web-based Health Assessment (iHA) for adolescents to screen for health risk behaviors, with an aim towards providing prevention and risk reduction counseling.
This project evaluated the Pharmaceutical Safety Tracking (PhaST) system, which monitors medication safety in children and adolescents who are taking antidepressants.
Implemented an ambulatory computer physician order entry (ACPOE) system with clinical decision support capabilities in an ambulatory, community-based, integrated health-system; evaluated the impact of the system both internally, on organizational processes and human factors, and externally, on patient safety as measured by medication errors and adverse drug events.
Evaluated the effects of a Web portal-based patient empowerment program and EMR system on quality of care, patient safety, and utilization for patients with diabetes and physicians in primary care practices.