HMGT 6334: Healthcare Analytics
The purpose of this course is to provide an introduction to the use of decision sciences and business intelligence in health-care industry. As the pressures of managed care and increasing health care costs push providers, payers and purchasers of health care to become more efficient, methods for understanding the appropriate basis for how to allocate shrinking health care resources must be understood. Moreover, the health care industry is yet to find ways to make best use of existing data to improve care, reduce costs, and provide more accessible care. In addition to developing a conceptual understanding of medical decision-making and healthcare analytics, the course will develop some technical skills in decision analysis and business intelligence. Part of the course will include hands-on experience with R and Rattle.
Major topics in this course include:
- Descriptive and Predictive analytics
- Data mining for improving health outcomes and reducing costs
- Medical decision making
- Introductory Cost-effectiveness analysis
- Big data in health care
Analytics for Quality & Performance Improvement by
Trevor L. Strome
Mining with Rattle & R. by Graham Williams
Following books are used in the course:
HMGT 4321: Introduction to Healthcare Information Systems
HMGT 6323/MIS 6317: Healthcare Informatics
Upon completion of the course, you should be able to explain the key information requirements for effective health information management and decision support, plan and develop the governance and oversight requirements of healthcare IT projects, understand the specification and selection process of healthcare projects, and apply these competencies to real-world problems.