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This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
This project will apply machine learning against a large data set to develop a model to both understand and predict surgical cancellations on individual pediatric patients at two pediatric surgical sites.
This project developed a patient-centric tool called the Surgical Risk Preoperative Assessment System to estimate the risk of adverse operative outcomes.
This project conducted an evaluation of the clinical outcomes, financial and economic impact, and patient and provider satisfaction of the WellMed Patient Centered Medical Home.
The overarching goal for this project is to improve the quality and patient-centeredness of asthmatic ambulatory care for children and adults.
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.