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This project will analyze and model the information requirements, decisionmaking, and workflow of homecare nurses admitting patients and characterize if and how health information technology systems support their needs.
This project created a natural language processing-enabled clinical decision support system to pull patient information and determine recommendations for cervical cancer screening, and demonstrated improvement in overall screening and surveillance rates.
This project studied whether the use of electronic patient reminders could shorten intervals between HPV vaccine doses and increase overall rates of completion of HPV vaccination regimen in inner-city areas compared to practices without reminders.
This project examined the relative effectiveness and cost-effectiveness of a health information technology intervention designed to facilitate high-quality care transitions to home health care.