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This research study addressed the overuse of blood cultures to diagnose sepsis by developing an electronic health record-embedded clinical decision support tool that draws upon the strengths of analytical and naturalistic decision making.
This study defined a knowledge base for a clinical decision support (CDS) tool and identified technology requirements for CDS design to optimize adoption of necrotizing enterocolitis prevention practices to support clinician decision making with the overall goal to improve the use of evidence-based practices for prevention and early recognition of NEC among premature infants.
This project expanded and modified the Child Health Improvement through Computer Automation (CHICA) system to assist pediatricians in identifying and managing four common medical-legal problems that may adversely impact child health, and found initial findings to be inconclusive.
This project implemented and evaluated an electronic health record influenza vaccine alert, FluAlert, to improve pediatric providers’ decisionmaking around influenza vaccines.
The project sought to determine if a computer decision support system integrated with routine care could improve standardized developmental screening during early well-child visits and surveillance for developmental disabilities at all pediatric visits.
The project team successfully developed a knowledgebase specific to medication management for children. The tools created included an algorithm for rounding of medication doses and a compounded medication knowledgebase.
Expands upon an electronic medical records-sharing initiative for high-risk infants and their families in Mississippi, linking new health centers and clinics and serving a rural area that spans 17 counties; uses telemedicine technologies to enhance evidence-based developmental care for newborns in acute care hospitals; and creates Web-based decision support resources for physicians who care for infants.