October 13 @ 4:00 – 5:00 pm
Speaker: Ketan Mane and Charles Schmidt
Presented from Duke University
In this seminar, we describe VisualDecisionLinc (VDL), a novel visual analytics based decision support tool. VDL is based on comparative effectiveness research that allows clinicians to quickly assess the treatment outcomes of similar patients to guide their decision making process. Presented in a dashboard style, VDL is designed to process and analyze large number of patient visits, and distill the therapeutic knowledge related information from comparative population to a summarized visualization based data views. Inbuilt user interactions are added to refine the derived therapeutic knowledge to best meet the clinician’s needs for an informed patient centric decision.
Ketan Mane is a Senior Research Informatics Developer in the ‘Health Informatics and Biosciences Group’ at Renaissance Computing Institute (RENCI). His work focuses on applying visual analytics approaches in decision support role to help clinicians identify viable treatment options at the point of care. Mane has a background in biomedical engineering, and holds a Ph.D. in Information Science from Indiana University, Bloomington. Prior to joining RENCI, Mane was part of the InfoViz. lab at Indiana University directed by Dr. Katy Borner. He has also worked as a Postdoctoral Research Fellow at Los Alamos National Lab (LANL). His research interest include: information visualization, visual analytics, comparative effectiveness research, decision support tools, health informatics, knowledge domain visualization.
Charles Schmidt provides technical leadership and management for RENCI biological and medical science related projects in the areas of patient monitoring, systems biology, and genomics. Prior to joining RENCI, Schmitt was the senior computer scientist at BD Technologies, Research Triangle Park, where he assisted in software development and bioinformatics support for programs in stem cell research, immune function, medical diagnostics, genomics, and proteomics. He also served as the primary architect and developer of the MPM software informatics platform. Schmitt is a member of the Association for Computing Machinery, Institute of Electrical Engineers, and the International Society for Computational Biology. He holds a B.S. degree in physics and a Ph.D. degree in computer science from UNC-Chapel Hill.