Data and Measurement
For effective quality improvement work, data is needed to evaluate if changes tested are resulting in improvement. Quality improvement data is often gathered on a set of measures. Outcome, process and balancing measures promote understanding of the impact of changes on the system. Data is also important to understand the variation in a process, and to monitor the process over time.
The resources below are designed to help you:
- Understand how to best visualize your data
- Appreciate the limitations of data
- Provide instruction on data gathering and analysis