Which technique uses the 80/20 principle to guide improvement priorities?

Which technique uses the 80/20 principle to guide improvement priorities?

• A. Run Chart
• B. Control Chart
• C. Pareto Analysis
• D. Scatter Diagram

Answer: (C)

The technique being tested is prioritizing improvement efforts using the 80/20 rule. Pareto Analysis applies the principle that a small number of causes are responsible for the majority of effects. In practice, you collect data on issues, tally how often each issue occurs or how much impact it has, and rank them from most to least significant. When you plot these in descending order and look at the cumulative effect, you can see which handful of causes drive most problems. This makes it clear where to focus resources, because addressing the vital few fixes the largest share of problems, delivering the greatest overall improvement with the least effort. In nursing informatics, this helps you identify which workflow bottlenecks, data quality issues, or system errors are contributing most to patient safety problems or clinician workload, and target those areas first rather than spreading effort across all issues. By comparison, a Run Chart shows how a metric behaves over time to detect trends; a Control Chart adds statistical limits to distinguish common-cause variation from special causes; and a Scatter Diagram explores whether there’s a relationship between two variables. These are valuable for monitoring or diagnosing aspects of a process, but they don’t inherently guide improvement priorities the way Pareto Analysis does by focusing on the most impactful few.

The technique being tested is prioritizing improvement efforts using the 80/20 rule. Pareto Analysis applies the principle that a small number of causes are responsible for the majority of effects. In practice, you collect data on issues, tally how often each issue occurs or how much impact it has, and rank them from most to least significant. When you plot these in descending order and look at the cumulative effect, you can see which handful of causes drive most problems. This makes it clear where to focus resources, because addressing the vital few fixes the largest share of problems, delivering the greatest overall improvement with the least effort.

In nursing informatics, this helps you identify which workflow bottlenecks, data quality issues, or system errors are contributing most to patient safety problems or clinician workload, and target those areas first rather than spreading effort across all issues.

By comparison, a Run Chart shows how a metric behaves over time to detect trends; a Control Chart adds statistical limits to distinguish common-cause variation from special causes; and a Scatter Diagram explores whether there’s a relationship between two variables. These are valuable for monitoring or diagnosing aspects of a process, but they don’t inherently guide improvement priorities the way Pareto Analysis does by focusing on the most impactful few.