Ambulatory Surgical Center

This project demonstrated that the large-scale electronic collection of patient-reported outcome measures in the National Surgical Quality Improvement Program is not only feasible but is also a notable step toward improving what matters most to patients.

This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.

This project developed a decision making tool for patients with asymptomatic carotid stenosis and concluded that it was feasible to implement in clinical practice.