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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 developed a natural language processing electronic health record search tool that automatically identifies and ranks relevant clinical information based on a patient’s presenting complaint within the emergency department setting.
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 study developed electronic medical record-based quality indices for eleven cardiovascular primary care services. It related physicians’ prior index scores to subsequent disease incidence and to care utilization in their patients.