Call Number | 14434 |
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Day & Time Location |
M 1:00pm-3:50pm To be announced |
Points | 1.5 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Yongmei Huang |
Type | LECTURE |
Method of Instruction | In-Person |
Course Description | Data is most useful when it can tell a story. Health analytics merges technologies and skills used to deliver business, clinical and programmatic insights into the complex components that drive medical outcomes, costs and oversight. By focusing on business intelligence and developing tools to evaluate clinical procedures, devices, and programs, organizations can use comparative and outcomes data to strengthen financial performance. This information can improve the way healthcare is evaluatedand delivered for better outcomes across the spectrum of health industries.
In this course, students will learn SAS as a tool to manipulate and analyze healthcare data and begin to understand what clinical and public health interventions work best for improving health, for example. Students will learn how to organize and analyze data to inform the practices of healthcare providers and policymakers to make evidence-based resource allocation decisions.Comparative & Effectiveness Outcomes Research (CEOR) certificate students will take this course inpreparation for the capstone class.SAS basics (e.g., creating SAS datasets and new variables, sorting, merging, reporting) and advanced statistics (e.g., using a logistical regression to create propensity scores for matched cohort analyses) will be covered. |
Web Site | Vergil |
Department | Health Policy & Management |
Enrollment | 0 students (35 max) as of 4:05PM Tuesday, April 22, 2025 |
Subject | Health Policy and Management |
Number | P8201 |
Section | 001 |
Division | School of Public Health |
Open To | Public Health |
Note | Priorities: Priority given to CEOR certificate students. |
Section key | 20253HPMN8201P001 |