Course curriculum

  • 1

    Welcome to the course!

    • Introduction: Dr L Booyens (CPO)

  • 2

    Module 1: Introduction: What is quality improvement?

    • Introduction to QI

    • Understanding Quality Improvement Methodology

    • Where does this methodology come from? The quality pioneers

    • The basis for the science of improvement

    • Deming’s theory explained:

    • Deming’s theory cont.

    • Knowledge for improvement

    • Knowledge for improvement

    • Model for improvement

    • Model for improvement

  • 3

    Module 2: What are we trying to accomplish?

    • Model for improvement

    • What are we trying to accomplish?

    • AIM statement: What do we aim to achieve?

    • Smart aim statement

    • Baseline data

    • Why median and not single data point/month?

    • Calculate the median

    • Calculating the baseline performance

    • Assignment # 1

  • 4

    Module 3: What change can we make that will result in an improvement?

    • Model for improvement: What change can we make that will result in an improvement?

    • Developing action plans

    • Change idea

    • Change idea cont

    • Problem analysis and change ideas tools

    • Brainstorming

    • Process mapping

    • 5 Whys (Root cause analysis)

    • Fish bone (Root cause analysis)

    • Benchmarking

    • Change concept

    • Change concept tips and tricks

    • Creative techniques

    • Change ideas

    • Identifying a high impact change idea

    • When to use which tool?

    • Generating change ideas

    • Homework – Assignment #2

    • Homework – Assignment #3

  • 5

    Module 4: How will we know that the change is an improvement?

    • Model of improvement: How will we know that the change is an improvement?

    • Model of improvement: How will we know that the change is an improvement?

    • Outcome measures

    • Process measures

    • Balancing measures

    • Outcome measures

    • Homework: Assignment #4

  • 6

    Module 5: PDSA

    • Module 5: PDSA

    • PDSA

    • Can we use a bar chart for QI projects?

    • What is the real story?

    • What is the real story?

    • What is the real story?

    • What is the real story?

    • Presenting data as an annotated run chart

    • Homework: Assignment #5

    • Run chart rules

    • Run chart rule 1: Shift

    • Run chart rule 2: Trend

    • Run chart rule 4: Astronomical point

    • Run chart rules tips and tricks

    • PDSA & Run chart rules

    • Homework: Assignment #6

  • 7

    Thank you

    • Vote of thanks from our presenters