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This study will test the hypothesis that low-income, disadvantaged patients can provide high-quality patient-generated health data and patient-reported outcomes through commercial technologies, and that these data can be used to improve healthcare quality and delivery.
This project will integrate clinical decision support into providers’ workflow in neonatal intensive care units to deliver evidence-based guidelines for early recognition and prevention of necrotizing enterocolitis, a serious complication threatening the life of fragile premature infants.
A computer support system for clinical decisionmaking and tailoring patient education called HeartSmartKids™, has been developed to facilitate the translation of recommendations into practice. This current study will employ a comparative-effectiveness trial to evaluate clinician decision support and tailored patient education on the implementation of the current guidelines at school based health clinics.
This project utilized a diabetes registry in order to improve care delivery and the quality of care for diabetics at eight federally-qualified community health centers.
The overarching goal for this project is to improve the quality and patient-centeredness of asthmatic ambulatory care for children and adults.