Ketan Mane is a Senior Research Scientist in the Health Informatics and Bioscience Group at Renaissance Computing Institute (RENCI). His focus is to improve patient care by building visual analytics based decision support tools that optimize one's ability to select treatment options that work. Using similar patient evidence from EMR data, his approaches target ways to: a) stratify evidence to select best treatment options; b) to derive predictive insights on treatment outcomes; c) to make displayed evidence more patient-centric that can be readily used by the clinician at the point of care.
Mane has a background in biomedical engineering, and holds a Ph.D. in Information Science from Indiana University, Bloomington (Advisor: Dr. Katy Borner). Prior to joining RENCI, Mane was a member 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: Visual Analytics, Data Analytics, Decision Support Tools, Comparative Effectiveness Research, Health Informatics, Translational Informatics, Knowledge Management.