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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.
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.
Focusing on the work environment of nurses, this project will study the organizational conditions under which electronic health records function best in hospitals and their potential to improve the outcomes of medical-surgical patients.
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 developed a decision making tool for patients with asymptomatic carotid stenosis and concluded that it was feasible to implement in clinical practice.
Developed a detailed plan for the implementation and support of informatics tools in regional health centers including the creation of informatics tools to manage institutional surgical care information, creation of a multi-institutional partnership to manage both the informatics and surgical quality improvement programs, and the development of an economic model related to the business and safety benefits.