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This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
This project developed, implemented, and evaluated a care transition information transfer system to improve provider-to-provider communication and standardize the discharge process.
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.
Assessed the impact of health IT on clinical and financial outcomes for patients with symptomatic congestive heart failure living in a rural area, including telemonitoring of vital signs and symptoms, evaluation of Technology Supported Case Management, and Technology Support Self Management.