Glossary

A (7) | B (2) | C (29) | D (13) | E (8) | F (6) | G (3) | H (10) | I (6) | J (1) | K (4) | L (3) | M (18) | N (4) | O (3) | P (15) | Q (5) | R (9) | S (14) | T (6) | U (3) | V (5) | W (1)

Opportunity for Improvement

Opportunity for improvement is when data demonstrate considerable variation or overall, less-than-optimal performance, in the quality of care across measured entities, and/or there are disparities in care across population groups.

Outcome Measure

An outcome measure is a measure focusing on the health status of a patient (or change in health status) resulting from health care – desirable or adverse.

Overfitting

Overfitting a model is when a statistical model begins to describe the random error in the data rather than the relationships between variables. This occurs when the model is too complex. In regression analysis, overfitting can produce misleading R2 values, regression coefficients, and p-values. Frost, J. (n.d.). Overfitting regression models: Problems, detection, and avoidance. Statistics by Jim. Retrieved November 1, 2023, from https://statisticsbyjim.com/regression/overfitting-regression-models/