Healthcare Data Analytics
Prerequisites: ACCT 201 and ISSCM 241/PSYC 304
This course explores the use of clinical and operational data to improve outcomes and achieve greater efficiencies in healthcare systems. The role of data analytics in supporting informed decision-making is emphasized. Topics include data manipulation, analysis, and visualization. Practical business intelligence tools, such as Microsoft Excel® or Tableau®, are used.
Outcomes: Discuss the role of data analytics in clinical and operational improvement efforts; Apply analytic techniques to health and healthcare data using business intelligence tools or applications; Identify meaningful patterns and trends in data sets to inform business decisions; Understand and interpret business needs and extract appropriate data necessary to solve problems; Propose solutions to complex business problems that are supported by data analysis & visualizations.
This course explores the use of clinical and operational data to improve outcomes and achieve greater efficiencies in healthcare systems. The role of data analytics in supporting informed decision-making is emphasized. Topics include data manipulation, analysis, and visualization. Practical business intelligence tools, such as Microsoft Excel® or Tableau®, are used.
Outcomes: Discuss the role of data analytics in clinical and operational improvement efforts; Apply analytic techniques to health and healthcare data using business intelligence tools or applications; Identify meaningful patterns and trends in data sets to inform business decisions; Understand and interpret business needs and extract appropriate data necessary to solve problems; Propose solutions to complex business problems that are supported by data analysis & visualizations.