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Health Service SPC for Information Analysts

Applying and explaining statistical process control to the NHS

A two-day course that shows NHS information analysts how to apply statistical process control (SPC) to NHS performance management and improvement situations. The course emphasises the need to be able explain SPC as well as teaching the know-how to enable you to calculate and draw a wide range of run charts and control charts.

NOTE THAT AS FROM JUNE 2010 WE ALSO OFFER THIS COURSE AS A ONE-DAY COURSE. PLEASE DISCUSS WITH US BEFOREHAND THE BEST OPTIONS FOR WHICH ELEMENTS OF THE TWO-DAY COURSE TO TRIM.

Health Service SPC for Information Analysts course outline (218Kb)

Who is this course aimed at?

Health Service SPC for Information Analysts is targeted at information and performance analysts who need to be able to create run charts and control charts in support of NHS performance management and improvement work.

Aims and objectives

By the end of the course participants will be able to create run charts and control charts that are appropriate for a range of NHS scenarios. They will be able to do this using Microsoft Excel so that they understand exactly what they've done to arrive at their end product. Moreover, they will be able to explain the results of their calculations and analysis clearly and effectively.

Prior knowledge required

No prior knowledge of SPC is assumed. However, you will need a basic grasp of Microsoft Excel to complete the exercises.

What material does the course cover?

DAY ONE | SESSIONS ONE AND TWO

  • A brief history of SPC

  • Some quick examples of how SPC can be used to inform NHS situations

  • An exploration of how to tell whether SPC is an appropriate tool to use or not

  • Drawing and interpreting run charts

  • How can you tell the difference between parametric data and non-parametric data?

  • Understanding why we use different methods and techniques for parametric and non-parametric data

DAY ONE | SESSIONS THREE AND FOUR

  • Drawing XmR charts

  • Drawing X Bar and Range charts

  • Understanding and explaining standard error for parametric data

  • Drawing X Bar and S charts

  • Drawing confidence intervals charts

  • Using confidence intervals to test for significant difference

DAY TWO | SESSIONS FIVE AND SIX

  • Introducing non-parametric data

  • Understanding and explaining standard error for non-parametric data

  • Drawing P charts

  • Drawing funnel plots for static rather than dynamic data comparisons

  • Drawing NP-charts

DAY TWO | SESSIONS SEVEN AND EIGHT

  • How to apply SPC when you don't have all the data you want

  • Drawing C charts

  • Drawing U charts

  • Recap of the two days' learning

What facilities are needed to run the course?

You need either an IT training room with enough PCs for each participant or a meeting room big enough to accommodate the participants with a laptop each. We can bring laptops. Up to eight participants can be accommodated on each course.

How much does the course cost?

To run Health Service SPC for Information Analysts as an on-site course will cost £2,200+VAT. All expenses included. The one-day course will cost £1,100+VAT.

 

"Neil was a fantastic tutor. He took time to answer questions and was very personable."

Health Service SPC for Information Analysts

London Ambulance Service NHS Trust, December 2009

 

As well as teaching the mechanics of how to calculate and draw control limits on charts, Health Service SPC for Information Analysts also places considerable emphasis on appropriateness. It is vitally important for analysts to understand when SPC is—and when it is notan appropriate tool to use. We devote a lot of time throughout the course thinking about when NHS situations constitute process and when they do not.

In addition, the course also stresses the need to explain. It is essential that analysts are able to fully understand and explain what run charts and control charts actually mean. Analysts' own understanding of how the charts are constructed is critical because they need to be able to help managers and clinicians interpret the data.

This is why we spend a lot of time making sure that participants understand the core concepts of standard deviation, average moving range and standard error. When you present control charts to managers and clinicians you have to have a firm grasp of what normal variation and special cause variation are. You also have to know that what you are dealing with is a process or not, and what your rationale is behind actually presenting the analysis as a piece of SPC.

Health Service SPC for Information Analysts is a course that teaches the calculations; it teaches the understanding behind the calculations; and it teaches the ability to explain the calculations to a lay audience.

 
             
      © Kurtosis 2010 | 99 Giles Street, Edinburgh EH6 6BZ | Tel 0131 555 5300 | email info@kurtosis.co.uk