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The development of evidence-based clinical guidelines is a rigorous process involving collaborative screening, identification, and systematic review of relevant literature, and the synthesis of evidence in support of guideline recommendations.  In cooperation with NHLBI, SAIC -Frederick has as developed an infrastructure that combines Web 2.0 collaboration technologies with advanced knowledge mining facilities to standardize the workflow of several clinical guidelines development efforts in support of cardiovascular risk reduction.  This presentation will provide an overview of the application of collaboration and knowledge-mining technologies in clinical guidelines development enabling the translation of evidence-based research supporting cardiovascular disease (CVD) prevention, detection, and treatment into clinical practice, as well as to provide foundation for the future integrated approach to CVD guidelines.

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