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Improving Healthcare During COVID-19 through Analytics
During the COVID-19 crisis, Prof. Carri Chan has collaborated with several leading hospitals to provide insights into COVID19 response planning. Using data analytics and mathematical models, Prof. Chan developed evidence-based approaches on how to manage healthcare delivery in resource constrained environments. One year after the global onset of the COVID-19, we invite you to join Professor Chan for a discussion on healthcare analytics, and how we can use data and models to predict trends, improve care, and better manage the spread of diseases.

Apr 21, 2021 12:30 PM in Eastern Time (US and Canada)

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Carri Chan
Associate Professor of Business, Decision, Risk, and Operations @Columbia Business School
Carri Chan is an Associate Professor of Business in the Decision, Risk and Operations Division at Columbia Business School. She teaches the core MBA class, Operations Management, and an MBA elective on the US Healthcare System. Her research is in the area of healthcare operations management. Her research utilizes data-driven mathematical models to develop evidence-based approaches to improve patient flow through hospitals. She has worked with clinicians and administrators in numerous hospital systems including Northern California Kaiser Permanente, New York Presbyterian, and Montefiore Medical Center. She is the recipient of a 2014 National Science Foundation (NSF) Faculty Early Career Development Program (CAREER) award, the 2016 Production and Operations Management Society (POMS) Wickham Skinner Early Career Award, and the 2019 MSOM Young Scholar Prize. She received her BS in Electrical Engineering from MIT and MS and PhD in Electrical Engineering from Stanford University.