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This article presents a novel visual analytics (VA)-based clinical decision support (CDS) tool prototype that was designed as a collaborative work between Renaissance Computing Institute and Duke University. Using Major Depressive Disorder data from MindLinc electronic health record system at Duke, the CDS tool shows an approach to leverage data from comparative population (patients with similar medical profi le) to enhance a clinicians' decision making process at the point of care. The initialdoi:10.1111/j.1752-8062.2011.00324.x pmid:22029811 pmcid:PMC5439904 fatcat:sofyg64l3zdltjrnxdqbe3l3t4