Healthcare Data Analytics: Medical Expenditures of Diabetes-Related Hospitalizations in the United States | August 4, 2020


Faculty Speaker: Dr. Guanglan Zhang, Associate Professor of Computer Science
Moderated by: Andrey Blidman, Computer Science Program Coordinator
August 4, 2020

Abstract: According to the 2017 National Diabetes Statistics Report, over 30 million (9.4%) of Americans have diabetes as of 2015. At the same time, hospital stays involving patients with diabetes contributed almost $83 billion or 23% of the total hospitalization costs in the United States. Understanding diabetes-related medical expenditures is essential in predicting the financial impact caused by the disease and planning for its better management. Using data from the Truven Health Analytics MarketScan Databases, we studied the characteristics of medical expenditures associated with diabetes-related hospitalizations (inpatient data). We tried to identify the specific macro-level (socio-economic) and micro-level (individual-patient-related) factors that affect the cost of inpatient care among diabetes patient and to study if there is a significant difference between inpatient care expenditures of women and men.

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