This 3-day track provides participants with a comprehensive toolkit for effectively analyzing data in the healthcare industry, with an emphasis on using proven quality methods to make sound decisions.

Participants will learn data analysis techniques to assess if healthcare processes are on target. Plus, explore relationships between variables and discover how to minimize defects using metrics such as cycle time, readmissions, ratings, and revenue. Analytical and statistical principles will be presented through real-world examples and exercises.

This course is appropriate for members of a hospital command center, a healthcare organization’s quality team, customer care team, problem solving team, those leading and facilitating process improvement activities to reduce variation in care, and practitioners preparing to adopt process changes to improve outcomes for patients in healthcare.

Training Track

DAYS 1-2

In this 2-day foundational course you will learn to minimize the time required for data analysis by using Minitab to import data, develop sound statistical approaches to exploring data, create and interpret compelling graphs, and export results. Analyze a variety of real world data sets to learn how to align your applications with the right statistical tool, and interpret statistical output to reveal problems with a process or evidence of an improvement. Learn the fundamentals of important statistical concepts, such as hypothesis testing and confidence intervals, and how to uncover and describe relationships between variables with statistical modeling tools.

This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly used in healthcare.

Topics Include:

  • Importing and Formatting Data
  • Bar Charts
  • Histograms
  • Boxplots
  • Pareto Charts
  • Scatterplots
  • Tables and Chi-Square Analysis
  • Measures of Location and Variation
  • t-Tests
  • Proportion Tests
  • Tests for Equal Variance
  • Power and Sample Size
  • Correlation
  • Simple Linear and Multiple Regression
  • One-Way ANOVA

Prerequisites: None

Individual value plot
Fitted Line Plot


Develop the necessary skills to successfully evaluate and certify your measurement systems. Learn the basic fundamentals of statistical process control and how these important quality tools can provide the necessary evidence to improve and control your processes. Develop the skills to know when and where to use the various types of control charts available in Minitab. Learn how to utilize important capability analysis tools to evaluate your processes relative to internal and customer specifications.

The course emphasizes the teaching of quality tools as they pertain to the healthcare industry.

Topics Include:

  • Attribute Agreement for Binary, Nominal, and Ordinal Data
  • Kappa and Kendall’s Coefficients
  • Gage R&R
  • Variables, Attribute, and Rare Event Control Charts
  • Capability Analysis for Normal, Nonnormal, and Attribute Data

Prerequisites: Minitab Essentials for Healthcare

Statistical Modeling

DAY 4 - Optional

Minitab training provides the foundation for improving your efficiency to use statistics to analyze data. The examples present real-world scenarios to learn the tools, while the exercises allow time to practice. Bring your educational journey full circle by reinforcing the training using data from your company. This affords the attendees the opportunity to relate directly to their own use cases.

The workshop places strong emphasis on making sound decisions based upon the practical application of statistical tools to your company projects with your data.

Topics will be determined by the specific customer data brought to the workshop.