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This project will examine health information exchange (HIE) usage patterns, the barriers and facilitators of HIE use, and the impact of HIE use by emergency department clinicians.
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 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.
Created an information management environment that integrated patient care data, standardized practice variation and use of best practices, and supported the delivery of a seamless continuum of patient care throughout the health system through CPOE.
Created a secure infrastructure for communication among providers to allow electronic sharing of patient clinical information with hospitals and other physicians/health providers in the county, region, and State; also assessed the effectiveness of the system in improving workflow, timeliness and completeness of information, patient safety, continuity of care, and health outcomes.