Healthcare Analytics Concentration

This course introduces statistics as applied to managerial problems. Emphasis is placed on conceptual understanding as well as on conducting statistical analyses. Students learn the potential and limitations of statistics, gain hands-on experience using Excel as well as comprehensive packages such as R or SAS. Topics include descriptive statistics, continuous distributions, confidence intervals for means and proportions, and regression analysis. Application areas include finance, operations, and marketing. The course introduces the basic concepts of model-building and its role in rational decision-making. Knowledge of specific modeling techniques, such as linear and nonlinear programming, decision analysis, and simulation, along with some insight into their practical application, are acquired. Students are encouraged to take an analytic view of decision-making by formalizing trade-offs, specifying constraints, providing for uncertainty, and performing sensitivity analyses. Students form groups to collect and analyze data and to write and present a final report.

• Course Number: 22:544:575
• Credits: 3
• Delivery Mode: In-person
• Offered By: MBA
• Relevant Programs: Master of Supply Chain Analytics, MS in Healthcare Analytics and Intelligence, MBA
• Sample Relevant Careers: Supply Chain Manager, Supply Chain Analyst, Operations Manager

This course introduces trends, strategies, techniques, and best practices to improve unit, organizational, and integrated delivery system performance by applying key concepts from operations and supply chain management to the healthcare context. The first half of the semester focuses on the value-based purchasing programs including cost/efficiency, patient outcomes, patient safety, patient experience, and clinical processes. The second half of the semester focuses on service components including vertical integration and professional services outsourcing, service process design, quality improvements, healthcare supply chain management, project management, and healthcare analytics. The objective is to effectively manage information, material, and financial exchanges for healthcare provider organizations to improve the quality of services and efficiency.

• Course Number: 22:799:696
• Credits: 3
• Delivery Mode: Hybrid
• Offered By: MS in Healthcare Analytics and Intelligence, MBA
• Relevant Programs: Master of Supply Chain Analytics, MS in Healthcare Analytics and Intelligence, MBA
• Sample Relevant Careers: Healthcare Service Manager, Healthcare General Manager, Physician, Nurse, Healthcare Analyst, Healthcare Database Manager, Healthcare Strategist, Healthcare Supply Chain Professional

Healthcare analytics is the branch of analysis that focuses on offering insights into hospital management based on data collected from four areas: claims and cost data, pharmaceutical and research and development (R&D) data, clinical data, and patient behavioral and sentimental data. This course reviews data sources, data processing, and data analytics models and tools with a focus on care provider performance in cost efficiency, revenue, process, clinical outcomes, and patient safety, and patient experience. Upon completing the course, students should be able to perform business analytics in above areas. The new course will greatly improve the relevance of healthcare analytics curriculum and also allow students to have hands-on and guided practices of analytics with common data in healthcare industry.

• Course Number: 22:799:638
• Prerequisites: Data Analysis and Decision Making (22:544:575)
• Credits: 3
• Delivery Mode: Hybrid
• Offered By: MS in Healthcare Analytics and Intelligence
• Relevant Programs: Master of Supply Chain Analytics, MS in Healthcare Analytics and Intelligence, MBA
• Sample Relevant Careers: Healthcare Analyst, Healthcare Strategist, Healthcare Database Manager, Healthcare Service Manager, Healthcare General Manager, Healthcare IT Professional, Healthcare Consultant