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This project integrated a validated anxiety-specific screening tool in an existing clinical decision support system and tested it with a randomized feasibility pilot that found the tool did not increase detection of anxiety in pediatric primary 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 refined a set of asthma care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.
The project team successfully developed and implemented an automated system for measuring the rate of adverse drug events in pediatric patients.