Sean Meyer is a doctoral student working with Dr. Karandeep Singh. His research focuses on clinical early warning systems.
What drew you to MiCHAMP?
I became interested in MiCHAMP because of the collaboration across disciplines essential in solving complex healthcare challenges. The seminar presentations demonstrate and inspire innovation in health and data science.
What specific expertise do you bring to MiCHAMP?
I’m a doctoral student researching the use of predictive modeling in clinical early warning systems. As a former programmer and intelligence analyst for the University of Michigan I’ve implemented analytics initiatives focused on improving patient outcomes and reducing costs through the use of data analysis and visualization. I have a master’s degree in business administration with a specialization of enterprise business intelligence and I am a US Army officer with expertise in military intelligence and operations.
What are your research interests and how do they tie into MiCHAMP?
I’m interested in the application of machine learning to decision making and how it fits into the clinical environment. My research involves applying machine learning to the use of maternal early warning systems to reduce mortality and morbidity. My membership in MiCHAMP has exposed me to professionals in many disciplines who have a passion for improving healthcare and appreciate the power of data science.
Singh, K., Meyer, S., & Westfall, J. (2019). Consumer-Facing Data, Information, And Tools: Self-Management Of Health In The Digital Age. Health Affairs, 38(3), 352-358. doi: 10.1377/hlthaff.2018.05404 (PubMed)