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.
Prerequisite: (ISSCM 241 or STAT 103) & ACCT 201.
Outcomes: 1) Discuss the role of data analytics in clinical and operational improvement efforts; 2) Demonstrate basic skills in the use of assigned business intelligence tools or applications; 3) Apply analytic techniques to health and healthcare data; 4) Identify meaningful patterns and trends in data sets to inform business decisions; 5) Understand and interpret business needs and extract appropriate data necessary to solve problems.
Prerequisite: (ISSCM 241 or STAT 103) & ACCT 201.
Outcomes: 1) Discuss the role of data analytics in clinical and operational improvement efforts; 2) Demonstrate basic skills in the use of assigned business intelligence tools or applications; 3) Apply analytic techniques to health and healthcare data; 4) Identify meaningful patterns and trends in data sets to inform business decisions; 5) Understand and interpret business needs and extract appropriate data necessary to solve problems.