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The research team developed and tested algorithms that can predict postoperative adverse outcomes with a high degree of accuracy.
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 designed and pilot tested a dashboard that synthesizes patient data from a registry and found that it decreased the average monthly visit no-show rate.
This project extensively tested, refined, and evaluated a tool called the Hazard Manager, a tool designed to support the characterization of hazards and communicate their potential and actual causality in adverse effects.
The project developed and pilot-tested a Web-based implementation of a Team Resource Management (TRM) intervention aimed at improving medication safety in primary care.