QPSi Knowledgebase

Understanding Process Variation Control charts are powerful tools for monitoring how a process changes over time. By plotting data in sequence, these charts help you distinguish between the natural variation inherent in a stable process and variation that indicates a specific, identifiable problem has occurred. A control chart displays a centerline for the process average,...

Integrating AI into Your Clinical Practice Artificial intelligence, particularly in the form of Large Language Models (LLMs), is rapidly becoming a practical tool in professional settings. An LLM is a sophisticated AI trained on vast amounts of text data to understand context, generate human-like writing, and answer complex questions. Within the University of Florida, NaviGator...

Understanding Model Trade-Offs When using an AI classification model to support clinical decisions, such as predicting which patients are at high risk for a specific condition, it is crucial to look beyond simple accuracy. Metrics like Positive Predictive Value (PPV), which measures the reliability of a positive prediction, and sensitivity, which measures how well the...

Distinguishing Between Quality Improvement and Research Differentiating between Quality Improvement (QI) and research can be challenging, as both disciplines often use similar systematic methods to collect and analyze data. However, understanding the distinction is crucial for determining the appropriate oversight, methodology, and ethical considerations for a project. Misclassifying a project can lead to confusion about...

The Electronic Health Record (EHR) provides powerful tools for exploring clinical data and implementing quality improvement solutions, enabling clinicians to enhance patient care while upholding key ethical responsibilities.

What is a Run Chart? In quality improvement, it’s essential to know if the changes you’re making are actually leading to improvement. A run chart is a simple yet powerful tool that helps you do just that. It is a line graph that plots data points over time, providing a dynamic view of performance rather...

A Framework for Structured Improvement In any effort to enhance patient care or optimize clinical workflows, having a reliable method for implementing change is essential. The PDSA (Plan-Do-Study-Act) cycle provides a simple yet powerful scientific framework for testing improvement ideas on a small scale before implementing them widely. By breaking the improvement process down into...

Shifting from Volume to Value For decades, the American healthcare system operated on a fee-for-service model that compensated providers for the quantity of services delivered. This approach has led to escalating costs without a corresponding improvement in patient health, creating a system that rewards activity over effectiveness. The result is higher spending for poorer outcomes...

What is a Fishbone Diagram? The cause and effect diagram, also known as a Fishbone or Ishikawa diagram, is a visual tool used to explore the potential causes of a specific problem. By organizing ideas into logical categories, it helps teams move beyond obvious symptoms to find the underlying factors contributing to an adverse event...