Description
One of the today’s most exciting and important applications of Business Analytics is Healthcare, thanks to the rise of Data Science and the Patient Protection and Affordable Care Act. Every day, more data on provider performance is becoming available to consumers to help them make better informed decisions about their healthcare. Hospital revenues are being driven more and more by clinical results through incentive programs for improving hospital readmissions, patient safety, costs, and patient outcomes. At the same time, population health is improving as Big Data is being used to learn what treatments are most effective at an unprecedented pace and scale. These forces are transforming the healthcare industry and public health.
Please feel free to reach out to the professor, Dan Adelman, for more information.
Objectives
This class is designed for students who want a hands-on learning experience focused on how data analytics drives the business of healthcare. The course combines lecture and discussion; students will work with large, real-world healthcare datasets. Students will use state-of-the-art commercial software tools in learning the underlying logic and calculations of value-based hospital reimbursement, outcomes measurement, and benchmarking, working directly with patient-level claims datasets from CMS (Centers for Medicare and Medicaid Services) and elsewhere. By the end of the course, students will be prepared to conduct and/or participate in a real-world data analysis project at a healthcare institution or a consultancy.