Continuous Quality Improvement (CQI) Principles and Processes PDF

CONTINUOUS QUALITY IMPROVEMENT Principles, processes, tools, and challenges. PRESENTED BY GROUP 5  Meet Group 5 Greggia Villegas Che-Ann Mondragon Faye Camille Romas...

CONTINUOUS QUALITY IMPROVEMENT Principles, processes, tools, and challenges. PRESENTED BY GROUP 5  Meet Group 5 Greggia Villegas Che-Ann Mondragon Faye Camille Romas Karly Niña Codizar Recelle Ibale  Introduction to Continuous Quality Improvement(CQI) What is CQI? It is a fundamental principle for organizations aiming for operational excellence. It's more than a concept, it's a culture that encourages proactive quality management, not reactive (ideally). A systematic approach to specifying the processes and outcomes of a set of practices in healthcare, education, service industry, especially manufacturing. The data collected may change strategies that may lead to improvements in performance. Importance of CQI Why do we need CQI? CQI is essential for both corporate and manufacturing environments, but the reasons differ based on their focus. Corporate Reasons Manufacturing Reasons In corporate settings, CQI In manufacturing settings, CQI enhances customer satisfaction, focuses on improving streamlines processes, and fosters production efficiency, reducing innovation to stay competitive in defects, and minimizing waste, dynamic markets. It helps which directly impacts cost businesses adapt to changes, build savings and product quality. brand reputation, and ensure long- term profitability. Importance of CQI Goal of CQI Secure consistent and strong support by decision- makers of all levels for CQI activities Connect data to practice Address gaps between evidence and practice Improve decision-making by using data and knowledge Maintain continuous learning using an “all teach, all learn” philosophy Reduce process variation to increase the likelihood of achieving desired outcomes WHO IS INVOLVED IN CQI? Leadership and management Employees Cross-functional quality team Suppliers and partners  Key Principles of CQI Systematic Process Focus on Customers Orientation Data-Driven Decision Understand and Making Emphasize cater to the demands improving Use quantitative and of both internal and qualitative data to processes rather external customers. than blaming identify areas for. improvement and individuals. monitor progress.  Key Principles of CQI Leadership Continuous Assessment Commitment and Iteration Collaboration and Teamwork Ensure strong Adopt an ongoing cycle leadership support Engage multidisciplinary of planning, for the CQI culture. teams to provide varied implementing, viewpoints and evaluating, and refining. knowledge.  Key Principles of CQI 9 8 Employee Involvement Focus on Root Cause and Empowerment Analysis Commitment to Use tools like fishbone Ongoing Learning Involve employees at diagrams, Pareto Encourage a all levels in identifying analysis, and the "Five and solving problems. Whys" to identify culture of underlying causes of innovation, problems. learning, and adaptation.  Key Principles of CQI 10 Focus on Measurable Results Set clear, actionable goals and measure improvements against baseline data. Celebrate achievements and use outcomes to build momentum for further improvements.  Process of CQI IDENTIFY AREAS FORM CQI TEAM COLLECT DATA PRESENT DATA FOR IMPROVEMENT GENERATE THE TRACK AND REFLECT THE ENGAGE IN WIDER TOOLS AND INTERPRET ENTIRE PROCESS TESTING TECHNIQUES RESULTS DISSEMINATE RESULTS CQI TOOLS AND 6 Common Tools TECHNIQUES PDCA Cycle or Deming Cycle 6 Sigma Lean Methodology Root Cause Analysis Process Maps Key Driver Diagrams PDCA Cycle or Deming Cycle DEFNINITION fundamental concept in quality management and continuous improvement. PURPOSE it provides a structured framework for problem- solving and process improvement PDCA Cycle or Deming Cycle 5.Implement 1. Identify and Select the Problem Solution on a Test 2. Analyze Problem basis 3. Generate Potential Solution 4. Select and Plan Solution 7. Implement System Wide 6. Evaluate Test Implementation Six Sigma DEFNINITION It is a data-driven methodology and set of techniques for improving processes by identifying and removing defects and variability. Purpose To improve customer satisfaction, and to achieve the objective, various methods are followed to improve the performance Key Concepts of Six Sigma Key Concept of Six Sigma DEFINE MEASURE ANALYZE DESIGN VERIFY Measure and Analyze the Defining the quantify the data collected Design the Verify the elements or needs and to identify new process design processes, specifications critical factors or product through customers’ of the that affect based on the testing and requirement, process or quality and analysis validation and goals performance. product LEAN METHODOLOGY Definition It is a systematic approach to improving processes by eliminating waste, optimizing flow, and focusing on delivering value to customers. Purpose Its purpose is to create more value for customers with fewer resources, thereby increasing efficiency and effectiveness LEAN METHODOLOGY (RCA) ROOT CAUSE ANALYSIS DEFNINITION PURPOSE PROCESS AND STEPS TOOLS AND TECHNIQUES PROCESS MAP DEFNINITION PURPOSE TYPES OF PROCESS MAPPING PROCESS AND STEPS PROCESS MAPPING SYMBOLS Process Workflow Diagrams Solution | ConceptDraw.com KEY DRIVER DIAGRAMS DEFNINITION PURPOSE ELEMENTS OF KKD EXAMPLE EXAMPLE CHALLENGES IN IMPLEMENTING CIQ resistance to change lack of understanding or comfort with existing routines inadequate leadership support insufficient training and education lack of data or improper analysis limited resources including time, budget, and personnel To overcome those challenges/obstacles: strong leadership commitment thorough data analysis clear communication across all levels employee engagement early demonstration of impact addressing resistance to change utilizing appropriate improvement methodologies FUTURE TRENDS IN CQI Emerging technologies Role of Artificial Intelligence (AI) in improving decision-making and predictive quality Impact of Data Analytics on identifying trends and optimizing processes  AI AND MACHINE LEARNING: REVOLUTIONIZING DATA QUALITY AI data quality tools outperform traditional methods by spotting patterns that manual approaches often miss. They are adept at: Automating data cleansing processes Detecting anomalies in real-time Enhancing data consistency across systems  AI AND MACHINE LEARNING: REVOLUTIONIZING DATA QUALITY Machine learning data quality "Organizations that prioritize data quality solutions excel with large datasets. have been shown to outperform their peers in revenue growth, profitability, and customer They adapt to new data patterns and satisfaction." refine their algorithms over time. Traditional Data AI-Driven Data Quality Quality Manual processes Automated workflows Reactive approach Proactive monitoring Limited scalability Handles big data efficiently Rule-based Self-learning algorithms Benefits of AI in Data Analytics 1. Faster and More Efficient Data Analysis 2. Better Decision-Making with Actionable Insights 3. Improved Data Quality 4. Cost Optimization and Efficiency AI-Driven Future Trends in Data Analytics As AI in data analytics continues to evolve, several future trends are expected to emerge in data science, including: Augmented Analytics: AI will play an increasingly prominent role in augmenting human decision-making, with AI-powered analytics tools providing deeper insights and recommendations. AI-Powered Predictive Analytics: will become more advanced, enabling businesses to make more accurate predictions based on larger and more complex datasets. AI-Driven Business Strategies: AI systems will continue to revolutionize business strategies, enabling companies to optimize supply chains, improve customer satisfaction, and streamline operations.  THE ROLE OF DIGITAL TRANSFORMATION Using software for continuous quality improvement  Conclusion Continuous Quality Improvement (CQI) is a flexible approach that enhances performance across industries by promoting innovation, data- driven decisions, and collaboration. In healthcare, it improves safety and care delivery; in education, it advances teaching and engagement; in manufacturing, it boosts efficiency and quality; and in services, it enhances customer satisfaction. By focusing on customer needs, teamwork, and measurable outcomes, CQI helps organizations adapt and thrive in dynamic environments. THANK YOU FOR LISTENING GROUP 5