Data gathering
✅ Reviewed for accuracy and relevance by Deanna Cooper Gillingham, RN, CCM, FCM on July 22, 2025.
Data collection is the foundation of quality improvement and performance improvement projects, so ensuring the data is valid and reliable is critical. As the saying goes, “garbage in, garbage out.” If the data is flawed, the results will be, too. Validity refers to the meaningfulness of the data being measured; is it measuring what it intends to measure? Reliability refers to the accuracy of the data.
Data can be qualitative or quantitative. Qualitative data is non-numerical, descriptive, and based on observations, interviews, or experiences. It is useful in identifying areas of concern and underlying issues, understanding client perspectives, and exploring why outcomes occur. However, it can be subjective and open to bias and is, therefore, not always as valuable as quantitative data. Quantitative data is numerical, standardized, and objective, making it more valid and usually preferred over qualitative data.
Data interpretation and evaluation
After data is collected, it is interpreted, which is the process of assigning meaning to the information and determining the conclusions, significance, and implications of the findings. Once again, it is essential to avoid bias when interpreting the data.
Reporting
The results are shared with others through meetings, summaries, presentations, or reports. The goal is for the information to influence decision-making, guide improvements, and ultimately improve client outcomes and organizational performance.
By gathering and interpreting data important to case management, such as readmission rates, denials, and population volumes, and then evaluating and reporting the findings, CMs promote quality and organizational success. These activities uphold regulatory and accreditation standards and ensure the relevance and sustainability of the case management program.
