Improving Decision Making in Health Care: ISyE Forms Health Analytics Group

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When deciding on a course of action in the world of health care there is very little to no room for error so collecting and using good data to drive decision making is amplified in importance.

Today, there is an increasingly complex and massive amounts of health care data collected daily. The ability to accurately capture, integrate, and analyze this data is crucial in helping to better understand current issues and make better decisions within health care delivery and public health systems.

To meet this demand for accurate knowledge, several faculty members have recently assembled to form a Health Analytics group within Georgia Tech.

The purpose of the group is to conduct research and mentor students in data science methodologies to improve decision making in health care delivery and public health. Approaches are based on rigorous modeling, mathematical standards, and advanced computing techniques and anchored in real problems and questions in the health domain.

The team collaborates with scientists and decision makers from many types of organizations including clinicians, large providers, public health entities, and private companies.

While the Health Analytics group has an academic home within the Stewart School of Industrial & Systems Engineering, they also have significant connections throughout Georgia Tech's Institute for People and Technology, the Center for Health & Humanitarian Systems, the School of Public Policy, the College of Computing, and beyond.

The group brings together researchers and students who share a common interest in the health analytics.  Nicoleta Serban, ISyE Coca-Cola Associate Professor, and Julie Swann, ISyE’s Harold R. and Mary Anne Nash Associate Professor, co-found and co-lead this group.

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  • Workflow Status:Published
  • Created By:Lizzie Millman
  • Created:09/08/2014
  • Modified By:Fletcher Moore
  • Modified:10/07/2016