This document discusses various quality improvement principles, methods, and tools. It covers the following key points:
1. Quality improvement requires high intention, effort, direction, and execution. Data should be used to make decisions and assess whether improvements are successful.
2. Common quality improvement methods discussed are Failure Mode and Effects Analysis (FMEA) for proactive risk assessment, Lean thinking to eliminate waste and streamline processes, and the Plan-Do-Check-Act (PDCA) cycle for reactive problem solving projects.
3. When selecting a quality improvement project, factors to consider include the problem's significance, size, repetition, potential impact, and urgency. The document provides an example project selection table.