Course Level: Masters

Course Role: Instructor of Record

Delivery Method: Online, asynchronous

Primary Program: MBA in Healthcare Management

Semesters Taught: Spring 2019, Summer 2019, Spring 2020, Summer 2020, Fall 2020, Spring 2021 (three sections), Spring 2022 (faculty reference)

Course Description

This course will introduce the student to the uses of information technology, healthcare informatics, and data analytics as they apply within the healthcare sector. This course provides a hands‐on, working knowledge of the most common approaches used to describe and visualize population characteristics, and the basic statistical tests used to identify associations between variables within datasets. This course also introduces the use of “big‐data” sets from archival billing data sources to answer health care access and cost questions. Additionally, this course will utilize Tableau, an industry‐standard data visualization tool, to build reports and dashboards based on archival billing data.

• Discuss the issues related to the extraction and analysis of large archival data sets for patients,
• Perform various statistical analyses on samples of archival data and write interpretative documents that describes the findings of the analysis,
• Construct items, such as but not limited to, tables, graphs and charts, diagrams, reports, and dashboards using Microsoft Excel, SPSS, STATA, and Tableau,
• Identify, assess, and select among statistical methods and models for solving real‐world problems weighing their advantages and disadvantages, and
• Transform large, complex informatics datasets into actionable knowledge through the use of data visualization techniques.

Syllabus

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