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This research evaluated the implementation and effectiveness of a clinical decision support tool designed to support the delivery of recommended care to hospitalized patients with heart failure, regardless of the reason for hospitalization.
This project explored whether the use of data from pain management practices can be used to develop more robust evidence-based approaches to chronic pain management.
This project developed a relational agent system--a human animation program that interacts with patients--to deliver depression treatment to patients with chronic illness and comorbid depression and found the system to be feasible and user-friendly.
The project team successfully developed and implemented an automated system for measuring the rate of adverse drug events in pediatric patients.