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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 created and evaluated a process to present quality data via physician’s online certification portal and found that the availability of that data did not result in improvement of quality measures.
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.
Assesses the value of health IT to clinicians through creation of CDSS tools integrated with clinical documentation workflow and physician performance feedback, its impact on clinical decision support and quality assessment, and its cost-effectiveness.