HCI 470 - Healthcare Statistical Analysis & Application

5 CR

Previously HCTM 470.
Apply statistical and graphical analysis approaches to healthcare analytics. Course focuses on DMAIC, a process improvement method that emphasizes metrics and analysis, and applying outcomes to develop control plans. Key topics include defining user requirements, factors that are critical to quality, and methods to define process capability and benchmarking. Various statistical software will be examined.

Prerequisite(s): HCI 450, or permission of instructor.

Course Outcomes

Analyze the various elements of statistical analysis and implementation of control plans
Develop appropriate metrics and processes to obtain data supporting clinical, operational, and financial objectives
Design a sampling strategy to collect data to define significance with a level of confidence.
Develop and interpret correlation and regression to define trends and predict outcomes.
Create visual representations of data that convey information clearly and effectively
Develop visibility boards to summarize analytics results for stakeholders with varied backgrounds and expertise
Apply practical problems to statistical approaches and compare results from different statistical applications.

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