Diabetes and Chronic Disease Systems
Georgia Tech VIP Team
About
As the U.S. population ages, chronic diseases have become more prevalent. This has important implications for society in terms of healthcare costs and quality of life. One such chronic disease is diabetes, which is characterized by elevated levels of blood sugar. Diabetes exhibits significant complexity by co-occurring with other chronic diseases and interacting with other phenomena. Co-occurring diseases include hypertension, cardiovascular disease, and kidney disease, among others. Interacting factors include lifestyle, social networks, economic standing, health insurance, and the healthcare system. Key goals are to utilize computational models and other methods to study and develop solutions for care regimens, networked diagnosis and care system design, healthcare business models, and insurance/payment models. Creating large-scale simulation models for designing diagnosis protocols and/or care networks for diabetics; Determining care capacity requirements; Specifying disease progression models of co-occurring diseases; Visualizing disease progression, treatment effectiveness, patient flows through care networks, and other phenomena; Estimating cost and patient outcomes of different treatment alternatives; Analyzing large datasets to gain insight into social effects on patient outcomes; Evaluating healthcare insurance/payment models; Specifying methods for determining and rectifying disparities; Developing serious games to identify novel healthcare business models or treatment methods; Identifying influencers of patient behavior that help or hinder treatment.
Majors
General Management, Computational Media, Computer Science, Human-Computer Interaction, Biomedical Engineering, Industrial Engineering, Economics, Public Policy, Biology, Psychology
How to apply
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