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This project will design natural language processing algorithms to extract data from free text notes on autism spectrum disorders in electronic health records, and demonstrate the feasibility and usefulness of this approach.
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.
The Electronic Data Methods (EDM) Forum facilitated learning and collaboration among researchers and other key stakeholders who are generating the data, methods, and knowledge needed to build learning health systems that will improve patient care and outcomes.
This project held a consensus conference in November 2012 to discuss nurse’s roles in supporting patient engagement and to develop a strategic plan to enhance nurses’ abilities to engage and support patients in this area.
This research project explored an innovative method to retrieve clinically relevant images for facilitating timely and accurate evaluation of diabetic retinopathy.
The Research Agenda for a Patient-Centered Medical Home (PCMH) conference convened a multidisciplinary group to discuss the research agenda needed to move PCMH from a demonstration model to an evidenced-based standard of care.