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Statistical Process Control: SPC in Healthcare

  Category: SPC, Variation, Analysis

Tuesday 21st November 2017 - Bradford

A full day practical session on how to produce and plot SPC in Healthcare. This is designed to support managers and analysts in the Yorkshire & Humber providing hands-on experience of designing and developing SPC charts.


Date: Tuesday 21st November 2017, 10:00 - 16:15 (registration from 09:30am)

Venue: The Midland Hotel, Forster Square, Bradford, BD1 4HU

Registration: To register for this event please click here.

Flyer: Please click here for the flyer  

The workshop/event is FREE to all NHS and Care organisation staff within the Yorkshire and Humber region, but a cancellation charge of £50 may apply if less than 48 hours’ notice is given.

As a pre-requisite to this course you must have attended one of the 'Understanding and Reducing Variation in Healthcare' workshops (see here for the next session). This event is focused on the practicalities of constructing SPC charts using Excel.  The 'Understanding and Reducing Variation in Healthcare' events concentrate on the theory, history and evidence for Statistical Process Control.

Users must provide their own laptop and have MS Excel installed to be used on the day, and be comfortable with formulas and formatting charts, as the majority of the day is spent using Excel.

Programme

09:30 Registration

10:00 Welcome and introduction

How to plot control charts for measurement data

11:30 Break

11:45 How to plot control charts for count data - part 1

12:45 Lunch

13:30 How to plot control charts for count data - part 2

Advanced topics in SPC

16:00 Close

The event will be delivered by:

Michael Rooney
Business Intelligence Manager - Bradford Teaching Hospitals NHS Foundation Trust

Michael has worked in health improvement for a number of years, supporting a wide variety of projects and leading on analytics using a number of techniques and technologies. He has used Statistical Process Control techniques to monitor and assess the impact of improvement projects, and applied data visualisation principles to present this in an effective way.