Udemy – Lean Six Sigma in Healthcare

The importance of six sigma in the field of healthcare was understood after a lot of thought process. It was realized that patient care being hands-on, variance possibility will be larger than in any other process-driven industries. Even for a slightest of variance, the data-driven approach of Six Sigma can make a lot of difference by coming up with ample amount of measurable improvement.

Six Sigma works on five major principles: Define, Measure, Analyze, Improve and Control. Let us see how each of these process add value in the healthcare industry.

In the Define phase, we determine who are the patients, and what do they want. Also, we look into the capabilities of the process being measured. Finally, we get more clarity on what are our objectives.

Next is the Measure phase, in which we will look into what improvement looks like. We will also see on what data our efforts will be measured. Here is when the Metrics are used to define performance in a healthcare organization. It often include service level, service cost, patient satisfaction, and clinical excellence.

In the Analyze phase we collect data and analyze using proven tools.

In the Improve phase we will implement modifications to improve the process.

Finally it is the Control phase where performance to maintain improvement is monitored.

There are a number of Hospitals that have successfully used SS in Healthcare including, Boston Medical Center, Mount Carmel Health System and Valley Baptist health System.

This course is intended to provide a practical understanding on the effective use of methodology and tools, to improve projects in a healthcare environment. Course highlights include examples, case studies and a sample project to reinforce and provide insight on the enhancements that are possible by implementing Lean Six Sigma.

What are the requirements?

• A general awareness of SS concepts will be an added advantage along with ample experience in the Healthcare industry.

What am I going to get from this course?

• Over 46 lectures and 3 hours of content!
• Value Lean concepts to reduce waste in processes
• Help with data collection and analysis for Lean projects
• Recognize the gaps in a process and fix them.
• Recognize a problem or an opportunity for improvement
• Establish knowledge on Lean Six Sigma tools and processes
• Resolve problems with data and analytics

What is the target audience?

• There are anumber of rofessional who can look upto this course for giving their career a drift like Quality Manager, Quality Analyst, Lean Consultant, Quality Assurance, Quality Control, Healthcare Professionals and Community Health Workers. This course can also be taken by other aspirants and students who wish to gain a thorough understanding of the application of Lean Six Sigma in the Healthcare sector and want to apply the methodologies and quality control process within their organization or in the community.

Curriculum
Section 1: Course Introduction
Lecture 1 Introduction 15:05
Section 2: Pre-Project Steps
Lecture 2 Pre-Project Steps 01:27
Lecture 3 How To Recognize a Potential Project 03:33
Lecture 4 How_To_Get_Buy-In 05:19
Lecture 5 How To Scope a Project 06:03
Lecture 6 Importance of Project Management 03:22
Lecture 7 Case Study 04:00
Lecture 8 Conclusion 00:59
Quiz 1 Quiz 4 questions
Section 3: Defining the Problem
Lecture 9 Defining the Problem 01:16
Lecture 10 Choosing a Project Team 01:49
Lecture 11 Crafting a Problem Statement 02:59
Lecture 12 Understanding the Impact 01:09
Lecture 13 Flushing Out the Causes 02:35
Lecture 14 Case Study 02:13
Lecture 15 Conclusion 00:40
Quiz 2 Quiz 1 question
Section 4: Measurement
Lecture 16 Measurement 01:21
Lecture 17 Process Mapping 09:58
Lecture 18 Data Collection 04:36
Lecture 19 Useful Measurement Tools 05:21
Lecture 20 Case Study 01:35
Lecture 21 Conclusion 00:49
Quiz 3 Quiz 1 question
Section 5: Analyze
Lecture 22 Analyze 01:35
Lecture 23 Importance of Analyze Phase 03:57
Lecture 24 Data Validation 06:08
Lecture 25 The Cause and Effect Relationship 16:39
Lecture 26 Data Analysis 06:18
Lecture 27 Case Study 03:25
Lecture 28 Conclusion 01:00
Quiz 4 Quiz 1 question
Section 6: Improve
Lecture 29 Improve 01:47
Lecture 30 Techniques to Generate Solutions 06:20
Lecture 31 Evaluate, Select, and Prioritize 06:52
Lecture 32 Develop and Implement Solutions 03:32
Lecture 33 Case Study 05:09
Lecture 34 Conclusion 01:18
Quiz 5 Quiz 1 question
Section 7: Control
Lecture 35 Control 01:50
Lecture 36 Lock in Performance Gains 02:36
Lecture 37 Standardize the Process 01:46
Lecture 38 Statistical Process Control 06:02
Lecture 39 Improvement Implementation 02:11
Lecture 40 Finalize the Project. 03:14
Lecture 41 Case Study 03:47
Lecture 42 Conclusion 01:04
Quiz 6 Quiz 1 question
Section 8: Putting it all Together
Lecture 43 Putting_it_all_Together 00:57
Lecture 44 DMAIC_Process 03:54
Lecture 45 Sample_Project 15:39
Lecture 46 Conclusion 00:39







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