Speaker "Rania Masri" Details Back



Extracting Actionable Insights From Medical Records Data


Big data in healthcare is being used to predict epidemics, cure disease, improve quality of life and avoid preventable deaths. New techniques are emerging that make it possible to extract actionable insights out of claims and medical records data to reduce the cost of care and systematically look at large numbers of patients to identify those at risk for health problems, or who could benefit from particular treatments. This session will feature some of the ways healthcare data can be explored to reveal the path to a disease or how the community you live in can influence your health.


Rania M. Masri is an information designer with 15 years of experience in creative design, front-end development and marketing. Her current focus is on data visualization, UI/UX, and responsive web apps, with a special interest in the nonprofit and healthcare sectors. Rania obtained her MFA in Information Design and Visualization from Northeastern University and her bachelor’s degree from the University of Michigan–Dearborn in Computer Science, Communication and Economics.   Rania has worked as a data visualization designer at the Center for Applied Data Science at UnitedHealth’s OptumLabs, a collaborative research and innovation center. Previously, she directed creative design at a multi-location clinic and co-founded a nonprofit consulting firm.