Ambulatory Surgical Center

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

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

This project will evaluate the feasibility of implementing a quality improvement-driven, health information technology-enabled method for capturing patient-reported outcomes (PROs) after ambulatory surgical procedures.