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Got big and complex data? We get the picture! Here we used our big data visual analytical methods to transform a large incomprehensible data set of readmitted hip fracture patients (left), into statistically and clinically significant patient subgroups based on their comorbidities (right), using a team-centered informatics approach.
Suresh K. Bhavnani Dr. Bhavnani is tenured professor of biomedical informatics in the Department of Preventive Medicine and Population Health, senior fellow in the Sealy Center on Aging, fellow of the American Medical Informatics Association, member of the Institute for Translational Sciences at the University of Texas Medical Branch, and adjunct faculty at the School of Biomedical Informatics in UT Houston.
Dr. Bhavnani obtained a PhD in Computational Design and Human-Computer Interaction from Carnegie Mellon University, and specializes in network visualization and analysis of biomedical data, with translation to clinical interventions and decision-support systems. He has received four distinguished paper awards in translational bioinformatics, a distinguished paper and a distinguished poster award in medical informatics, and a Top-10 Video selection from the American Medical Informatics Association. In addition, he has received an outstanding research mentorship award from the University of Michigan, the Rising STARs award from the University of Texas Systems, the Outstanding Paper Award at the Science of Team Science conference, and the Educator of the Month award from the Academy of Master Teachers at UTMB. Bhavnani is PI of the Discovery and Innovation through Visual Analytics (DIVA) lab at UTMB, and PI of grants from PCORI, CDC, the AGING Initiative and the Institute for Human Infections and Immunity, and Co-PI/Co-I of grants from NSF, NIH, and Microsoft.
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