Data science is the application of computational inquiries into large data sets to uncover data-driven decisions and solutions. Data analytics can include data mining, machine learning and other predictive analytic approaches.
Systems scientists identify and test factors for modifying complex systems (e.g., health care settings, populations). The intentions are to achieve higher quality (safer) care, better patient experiences and population health outcomes at less cost, and improved healthcare provider work life.
Within data and systems science, our faculty are harnessing the development and use of technology for improving health and healthcare. They are engaged in creating clinical decision and care team communication enhancements and advancing provider care delivery for the early identification and treatment of disease and prevention of adverse events, as well as mobile health programs for improving health behaviors that will prevent cancer and chronic health conditions.
Associate Dean, Research
Professor, BIO5 Institute
Professor, Family and Community Medicine
Director, Clinical-Research Partnership