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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.
The goal of this study was to develop and evaluate electronic health record-based tools to improve diagnosis and treatment of overweight and obesity in primary care.
This project evaluated whether an interactive voice response system used by parents prior to routine health maintenance visits could improve parental activation, the comprehensiveness of care provided, and medication safety.
Systematically assessed improvements in patient safety and experience of care associated with implementation of four decision support function embedded in an electronic health record: 1) the influence of weight based dosing on pediatric adverse drug events; 2) the influence of a test result tracking system on appropriate followup of ordered tests; 3) the influence of automated reminders on symptom monitoring and medications for children with asthma and attention deficit disorder.