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This research aims to integrate an electronic sexually transmitted infection (STI) risk assessment tool for adolescents into four pediatric primary care clinics.
This project will develop and evaluate an electronic health record-embedded clinical decision support tool that draws upon the strength of analytical and naturalistic decision-making to optimize the use of blood cultures in critically ill children.
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.
This study examined clinical decision task complexity to guide the design of innovative clinical decision support to for high-level reasoning in complex decision tasks.
This study found increased rates for some screening and preventative services following adoption of federally-certified electronic health records.
This project designed and tested a smartphone patient application to detect vascular surgical site infections and found that it allowed for early detection and was easy to use.
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.
The Interactive Preventive Health Record is a personal health record that was created and tested to make preventive information actionable for patients.
Evaluated the completeness and accuracy of information on symptoms, disease conditions, medications, and allergies generated by parents using a patient-centered health technology called ParentLink, compared to information documented by emergency department physicians and nurses; and assessed ParentLink's impact on patient safety and quality.
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.