Biomedical informatics (BMI) is the interdisciplinary, scientific field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving and decision making, motivated by efforts to improve human health.
Sahiti Myneni, PhD, MSE, joined UTHealth School of Biomedical Informatics (SBMI) on March 1, 2014 as an assistant professor of biomedical informatics. In 2009, Myneni came to SBMI as a research fellow and later started her PhD in health informatics, which she completed in the fall of 2013. Her research interests include consumer informatics, health-related social media analytics, data-driven digital health technologies and idea to product translation (mHealth device development and testing). Myneni's current research focuses on health-related online social network analysis that builds on qualitative, automated and quantitative methods, which enables the development of novel, informatics-driven solutions in the domains of consumer and population health. In the future, she plans to extend her methodological application to other areas such as substance abuse, chronic disease management and cancer survivorship research. On the applications front, she will be developing, testing and implementing tailored behavioral interventions using advances in mHealth and persuasive computing.
“I have always been fascinated by the way technology empowers humans in reaching informed decisions. The idea of developing and using data-driven methods that propel meaningful and efficient technology development lead me to work in the biomedical informatics field," said Myneni. "I think we will see a transition from the focus on EHRs in hospitals to digital data generated by patients as consumers of health technologies. The challenge that lies ahead is utilizing these data to inform patients, physicians and researchers about the path that needs to be taken to prevent diseases, reduce hospitalizations and improve patient safety."
PhD, Health Informatics, 2013, University of Texas Health Science Center at Houston
MSE, Electrical Engineering, 2009, Arizona State University
BE, Electronics and Communications Engineering, 2007, Osmania University
Areas of Expertise
Health-related social media analytics
Data-driven digital health technologies
Idea to product translation (mHealth device development and testing)
Myneni, S., McGinnis, D., Cohen, T., Almoosa, K., Patel, B., Patel, V.L. (in press). Effective use of clinical decision support in critical care: using risk assessment framework for evaluation of a computerized weaning protocol. Special Issue of Annals of Information Systems on Healthcare Informatics.
Berlinicke, C.A., Ackermann, C.F., Chen, S.H., Schulze, C., Shafranovich, Y., Myneni, S., Patel, V.L., Wang, J., Zack, D.J., Lindvall, M., and Bova, S.G. (2012). High content screening data management for drug discovery in a small to medium size laboratory: results of a collaborative pilot study focused on user expectations as indicators of effectiveness. Journal of the Association for Laboratory Automation; 17(4): 255-65.
Patel, V.L., Cohen, T., Murarka, T., Olsen, J., Kagita, S., Myneni, S., Ghaemmaghami, V. (2011). Recovery at the edge of error: debunking the myth of the infallible expert. Journal of Biomedical Informatics; 44(3): 413-24.
Myneni, S., Patel, V.L. (2010). Organization of biomedical data for collaborative scientific research: a research information management system. International Journal of Information Management. 30; 256-64.
Patel, V.L., Myneni, S. (2009).Facilitating patients' safe access to electronic health records: a proposed cognitive framework. Japan Journal of Medical Informatics; 29 (3): 109-11.
Patel, V. L., Myneni, S (2009). Cognitive summarization for patient’s safe comprehension of electronic mental health records. Proceedings of IMIA-WG4 (SiHIS) conference, Hiroshima, Japan.
Myneni, S., Patel, V. L. (2009). Assessment of Collaboration and Interoperability in an Information Management System to Support Bioscience Research. In AMIA Annual Symposium Proceedings (Vol. 2009, p. 463). American Medical Informatics Association.
Peer-reviewed Conference Abstracts:
Myneni, S., Franklin, A., Cobb, N., Cohen T. (2013). Individual attributes of behavior change in an online social network. American Medical Informatics Association Annual Symposium (AMIA), Washington D .C. (Nominated for Distinguished Poster Award, AMIA 2013)
Myneni, S., Cobb, N., Cohen T. (2012). Content analysis of online social networks suggests strategies for personalizing smoking cessation support systems. Innovations in Cancer Prevention and Research Conference, Austin, TX.
Gottipati, D., Nguyen, V., Myneni, S., Almoosa, K., Kannampallil, T., Patel, V.L. (2011). Information integration model in critical care setting: role of electronic health records. American Medical Informatics Association Annual Symposium (AMIA), Washington D .C.
Myneni, S., McGinnis, D., Almoosa, K., Cohen, T., Patel, B., & Patel, V. (2011). 553: Socio-technical barriers to effective use of a weaning protocol in a medical intensive care unit. Critical Care Medicine, 39(12), 153.
Myneni, S., Patel, V.L., Patel, B., Almoosa, K.F. (2010). Risk analysis in critical care: a method for real-time risk assessment and communication. American Medical Informatics Association Annual Symposium (AMIA), Washington D .C.