Assistant Professor
Department of Clinical and Health Informatics
Contact
Deevakar.Rogith@uth.tmc.edu | 713-500-3691
Deevakar Rogith, MBBS, Ph.D. joined McWilliams School of Biomedical Informatics at UTHealth Houston, formerly UTHealth Houston School of Biomedical Informatics (SBMI) on September 2016 as an assistant professor. Most recently, Rogith served as a postdoc research fellow at McWilliams School of Biomedical Informatics.
Rogith is a clinician by training. In India, while working with a large population of patients, he saw that clinical data in paper records shrouded enormous knowledge. He worked on converting paper records to electronic format, and analyzing the data to discover knowledge about the clinical care.
Rogith’s research focuses on integrating cognitive science and clinical medicine in exploring clinical data for better health care and patient safety. His current research projects include development of modern apps for EHR, usability analytics from EHR data, discovery of patterns in medication and diagnosis decisions in EHR and systems methods for medication and diagnostics errors in EHR data.
Rogith received his MBBS in 2010 and worked as clinical intern & psychiatry resident in a tertiary care hospital in India. An alumnus of our school, Rogith earned his Ph.D. in health informatics in December of 2015. During his time at our school, Rogith worked with Dean and Dean and Glassell Family Foundation Distinguished Chair in Informatics Excellence Jiajie Zhang, Ph.D. on cognitive informatics, and the use of Big Data for clinical informatics. Rogith also worked in the National Center for Cognitive Informatics and Decision Making in Health Care (NCCD) as a student.
“In Informatics, I am trying to find answers for why, such as ‘Why is this medication ordered?’ or ‘Why did the patient not respond?’ To answer these questions, I believe that the answer lies both in the clinical data and the external environment like the providers, the clinical workflow. Thus I work on usability and interface design to improve the external environment of data and with my clinical expertise, I associate the external environment to clinical data to find my answers. This is my small tile in a big puzzle of using Big Data for health care and patient safety.”