Big Data has revolutionized the business world and is starting to have the same impact in healthcare. Using sophisticated analytical tools, hospitals and health systems are interpreting massive amounts of patient data to help them improve care and make it more efficient and cost effective. Such analysis is helping caregivers identify patients who might be at risk for certain ailments, allowing for earlier intervention, and improving patient safety by recognizing potential vulnerabilities in the care continuum.
Panelists will discuss how the effective use of data in health care requires many coordinated activities, including the collection of data seamlessly in the regular workflow of the clinical enterprise. Equally as important is the secure management of data and policies across purposes and among organizations, and designing rigorous and reproducible analytic methods at scale.
Jonathan Silverstein, MD, MS, is Vice President and Davis Family Chair of Informatics at NorthShore University HealthSystem and heads the Center for Biomedical Research Informatics (CBRI). CBRI builds upon NorthShore’s award-winning Electronic Medical Record (EMR) and extensive data warehouse to be a nationally recognized leader in informatics for healthcare and research. He is internationally known for his expertise, and federally funded research, in the application of advanced computing architectures to biomedicine; and on the design, implementation and evaluation of high-performance collaboration and visualization environments for anatomic education and surgery.
Ian Foster, PhD, is director of the Computation Institute, a joint institute of the University of Chicago and Argonne National Laboratory. He is also an Argonne Senior Scientist and Distinguished Fellow and the Arthur Holly Compton Distinguished Service Professor of Computer Science at the University of Chicago. His research deals with distributed, parallel, and data-intensive computing technologies, and innovative applications of those technologies to scientific problems in such domains as climate change and biomedicine.
Rayid Ghani, MS, is Chief Data Scientist for the Computation Institute’s Urban Center for Computation and Data; is a Senior Fellow, Harris School of Public Policy; and Director, the Center for Data Science and Public Policy at the University of Chicago. His current research lies at the intersection of machine learning/data mining, public policy, and social sciences, working on solving large-scale and high impact social problems using data driven and evidence based methods. He is also founder/co-organizer of the Data Science for Social Good Fellowship at the University of Chicago.