Welcome to the topic of continuous quality improvement (CQI)! CQI: Data is a video course meant to show how data can be documented and analyzed for continuous quality improvement in your organization. This video lesson, Data Collection Rules, is the second of five. The viewer will learn the rules for collecting data that will be useful and actionable in your CQI initiatives. For example, the lesson describes parameters for what data you need and how you’re going to collect it so that you can use it to improve your processes.
Overview
COURSE DIFFICULTY
COURSE DURATION
6m
Skills Learned
After completing this online training course, students will be able to:
Understand the Importance of Data Collection in Quality Improvement
Identify Various Data Collection Methods and Their Applications
Analyze Data for Continuous Improvement Initiatives
Implement Best Practices for Data Accuracy and Integrity
Develop Strategies for Effective Data Reporting
Quality Assurance Professionals, Data Analysts, Process Improvement Specialists, Team Leaders
Completion of Continuous Quality Improvement: Data (Part 1 of 5)
01. Introduction to Data Collection Rules
02. Overview of Data Collection Methods
03. Best Practices for Data Accuracy
04. Analyzing Collected Data
05. Reporting and Utilizing Data for Improvement
SKILLS LEARNED
Skills Learned
After completing this online training course, students will be able to:
Understand the Importance of Data Collection in Quality Improvement
Identify Various Data Collection Methods and Their Applications
Analyze Data for Continuous Improvement Initiatives
Implement Best Practices for Data Accuracy and Integrity
Develop Strategies for Effective Data Reporting
WHO SHOULD ATTEND
Quality Assurance Professionals, Data Analysts, Process Improvement Specialists, Team Leaders
PREREQUISITES
Completion of Continuous Quality Improvement: Data (Part 1 of 5)
COURSE OUTLINE
01. Introduction to Data Collection Rules
02. Overview of Data Collection Methods
03. Best Practices for Data Accuracy
04. Analyzing Collected Data
05. Reporting and Utilizing Data for Improvement