HCIP 6102 - Healthcare Data Analysis

Develops skills in the management, analysis, and reporting of health data, including introductory applied statistical analysis. Students use statistical software (such as SAS, R, or Python) to run analyses and generate quantitative evidence to inform public health, health policy, healthcare operational, and clinical decision-making that improves quality, reduces health disparities, adjusts for risk, quantifies access, measures population health, and evaluates policies and programs. Focuses on interpreting and visualizing statistical output to generate reports and develop clinical, financial, and operational recommendations for communication to stakeholders. Touches upon SQL, qualitative methods, and application of legal and ethical precepts to healthcare data analysis.

Credit Hours: (3)
Restriction(s): Enrollment in PSM or Graduate Certificate in Health Informatics and Analytics
program, MPH program, or Graduate Certificate in Applied Nursing Informatics program.
Most Recently Offered (Day): Spring 2020
Most Recently Offered (Evening): Fall 2020, Fall 2019, Spring 2019

Schedule of Classes