Search found 28 items
This research aims to adapt a decision support tool that integrates clinical risk information with patient preferences. The goal of this work is to support patients in making informed breast reconstruction decisions together with their clinicians.
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.
This project will evaluate the comparative effectiveness of asynchronous telepsychiatry versus synchronous telepsychiatry in a skilled nursing facility population using a 12-month randomized controlled trial.
The goal of this project is to develop and evaluate an air traffic control-like command center for operating rooms.
This project will develop a clinical decision support tool for the perioperative setting.
This research created, piloted, and evaluated FIQS, the Family Input to Quality and Safety tool, that allows pediatric patients and their caregivers to provide safety reports regarding their inpatient care.
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 designed and tested a smartphone patient application to detect vascular surgical site infections and found that it allowed for early detection and was easy to use.
This project developed a decision making tool for patients with asymptomatic carotid stenosis and concluded that it was feasible to implement in clinical practice.