Determining Root Causes 5 Whys Pareto Charts Fishbone Diagrams.

Slides:



Advertisements
Similar presentations
Quality control tools
Advertisements

A3 PROBLEM SOLVING TOOL: Date: Contact: SOLUTIONS / COUNTERMEASURES What solutions will solve the root causes? (Tools: Brainstorming and Affinity Diagram)
IT Cadre 2006 USING PARETO CHARTS IN DATA ANALYSIS.
PHD Performance Management Program Matt Gilman Spencer Soderlind Brieshon D’Agostini September 28, 2011 PDCA Training Series 2 PLAN, Part 2.
©2014 IDBS, Confidential Statistical Process Control Workshop An Introduction to the Principles behind SPC Ilca Croufer.
By: Dr. David L. Goetsch and Stanley Davis Based on the book
B a c kn e x t h o m e Frequency Distributions frequency distribution A frequency distribution is a table used to organize data. The left column (called.
ISHIKAWA DIAGRAM – Tool for quality management Marit Laos IS Project Management
QI Tools 1 Improvement Facilitator Training Session 2.
Chapter 8: Project Quality Management
Ch. 2: The Art of Presenting Data Data in raw form are usually not easy to use for decision making. Some type of organization is needed Table and Graph.
Chapter 8: Quality Management Project Quality Management
Effective Meetings YesNo 1.Was the meeting necessary? 2.Was there an objective communicated in advance? 3.Was time used effectively? 4.Was there adequate.
Chapter 10 The Tools of Quality.
Applying the Seven Basic Quality Tools in Software Development
The information contained in this presentation, the source code and underlying program are protected by copyright owned by PlusDelta Technologies, LLC.
QUICKSTART Pareto Chart. Pareto Chart Understand what the Pareto law is Understand what a Pareto diagram is Provide Pareto analysis by level Provide examples.
Describing distributions with numbers
Objective To understand measures of central tendency and use them to analyze data.
1 Software Quality Engineering CS410 Class 5 Seven Basic Quality Tools.
Chapter 27 Additional Analysis Methods. Objectives Use various tools and techniques to compare current and future states in terms of pre defined metrics.
Chapter Introduction 2-2 Organizing Data
Graphical Analysis. Why Graph Data? Graphical methods Require very little training Easy to use Massive amounts of data can be presented more readily Can.
Florida Quarterly Meeting Root Cause Analysis Florida Quarterly Meeting Root Cause Analysis January 12, 2011 Christy Hormann, MSW, CPHQ Project Leader-PIPs.
Quality Control Project Management Unit Credit Value : 4 Essential
Copyright © Cengage Learning. All rights reserved. 2 Descriptive Analysis and Presentation of Single-Variable Data.
/ 241 An Workshop Wonca Europe, September 2008, Istanbul Basic Tools of Quality Dr. Zekeriya Aktürk, Dr. Nezih Dağdeviren, Dr. Turan Set
1.1Purpose and Scope: 1.1.1This training presentation is intended to serve as development training for HEB Manufacturing Partners that need to identify.
Office of Process Simplification May 20, 2009 Planning an Improvement Project.
Target Condition & Countermeasures
2009 Your Opinion Our Future SurveyClarify and Prioritize Clarify & Prioritize Tool Root Cause The 5 Why’s Control & Employee Impact 4 Block Cost & Ease.
Problem Solving.
Using Data to Plan for Instruction Summer 2006 Preschool CSDC.
LORNA MARTIN CAH & SMALL RURAL LEARNING COMMUNITY APRIL 25, 2012.
Seven Quality Tools The Seven Tools –Histograms, Pareto Charts, Cause and Effect Diagrams, Run Charts, Scatter Diagrams, Flow Charts, Control Charts.
RCM Tools Histogram Pareto Chart Cause and Effect Diagram FMEA.
Histograms. Grouped frequency distribution Shows how many values of each variable lie in a class. Some information is lost. When presenting this information.
Project Quality Management.  Define project quality management.  Describe quality planning and its relationship to project scope management.  Discuss.
Pareto Principle “The Vital Few and Trivial Many Rule” “Predictable Imbalance” “80:20 Rule”
Improvement Tools Interactive Lecture Tools Offer Assistance Understand the current state of a process Determine whether the process is in control Find.
Seven Old Tools of Quality Management
1 Chapter 6 Quality Tools. 2 The Seven Basic Quality Tools. Flowcharts Check Sheets Histograms Pareto Analysis Scatter Diagrams Control Charts Cause-and-Effect.
1 Project Quality Management QA and QC Tools & Techniques Lec#10 Ghazala Amin.
The seven traditional tools of quality I - Pareto chart II – Flowchart III - Cause-and-Effect Diagrams IV - Check Sheets V- Histograms VI - Scatter Diagrams.
THE 7 BASIC QUALITY TOOLS AS A PROBLEM SOLVING SYSTEM Kelly Roggenkamp.
Basic 7 Tools of Quality Presented by: Rajender Kumar, Asst. Prof.
IT Project Management, Third Edition Chapter 8 1 Chapter 5: Project Quality Management.
Corrective Action Training Document World Class Solutions for Global Applications Riverhawk.
The Scientific Method. Objectives What is the scientific method? What are the steps of the scientific method? What is a theory? What is a scientific law?
Frequency Distributions and Graphs. Organizing Data 1st: Data has to be collected in some form of study. When the data is collected in its’ original form.
5 Why analysis By its very nature, a Lean Six Sigma program requires a number of changes throughout the organization. That’s what we are trying to do right?
Lab Standards + Documentation Committee
ASQ 415 Windsor Section March 24th, 2016 Tech Talk – Gulten Ozaltan
5 Why’s Overview.
Virtual University of Pakistan
Participant and Leader Training
ISO 9000 Series A set of international standards on quality management and quality assurance developed to help companies effectively document the quality.
Pareto Charts Summary Process Steps
PROJECT QUALITY MANAGEMENT Teknik Elektro FT UNDIP
Quality Tools - 9/18/2018 Quality Tools -
Quality Improvement: Problem Solving
Title: Owner: Ver: Date:
Title: Owner: Ver: Date:
Title: Owner: Ver: Date:
5 Why’s Overview.
Quality Tools - 2/19/2019 Quality Tools -
Possible Analysis Tools to Insert into your A3
Histogram Summary Process Steps
Pareto Charts Summary Process Steps
Histogram Summary Process Steps
Presentation transcript:

Determining Root Causes 5 Whys Pareto Charts Fishbone Diagrams

A3 Roadmap for Performance Improvement at Penn Medicine

The simple idea is to keep asking "Why" (usually five times) to ensure that the root cause(s) to the effects are fully understood. The reasoning is that the result of each time the Why is asked gives a different answer, in essence peeling back the onion as follows: – First Why—Symptom – Second Why—Excuse – Third Why—Blame – Fourth Why—Cause – Fifth Why—Root Cause 5 Whys

Problem: Cement is falling from the ceiling because it is being washed several times a week Why? There are lots of pigeon droppings Why? Pigeons come to eat the spiders Why? Spiders come to eat the midges Why? Midges fly to the flood lights of the monument Why? The lights come on before dusk and attract the midges Drill down “Therefore” rule Turn lights on later Asking “Why 5 Times” Drill Down on Possible Causes

Pareto

Histogram A type of bar chart showing a distribution of variables. Represents each attribute or characteristic as a column and the frequency of each attribute or characteristic occurring as the height of the column RNs Leaving Room During An Episode Of Care - 24 hours

Pareto Chart A specific type of histogram that ranks causes or issues by their overall influence. A Pareto chart Assists in prioritizing causes or corrective actions as the issues with the greatest impact are displayed in order. In addition, the Pareto chart Includes an arc representing the cumulative percentage of the causes. Pareto’s Law states that a relatively small number of causes will typically produce a large majority of the problems or defects. This is commonly known as the 80/20 rule, where 80% of the problems are due to 20% of the causes.

Cause-Effect or Fishbone Diagrams An Error Dissection Tool for Patient Safety Events A Brainstorming Tool for QI Problems

Fishbone Pitfalls ! Avoid Never-Ending Possible Causes – Stay within the team’s “sphere of influence”. Not using data to back up opinions expressed to confirm the true nature of the causes. Not using experienced facilitators when possible.