In CDI metrics, ROM stands for Risk of Mortality; misinterpretation can affect what outcome?

• A. It has no effect on outcomes.
• B. It could distort risk-adjusted measures and financial/quality metrics.
• C. It only affects patient satisfaction metrics.
• D. It improves predictive accuracy.

Answer: (B)

In CDI metrics, ROM, or Risk of Mortality, feeds risk-adjustment models that level the playing field when comparing patients, programs, or hospitals by accounting for how sick the patients are. When ROM is misinterpreted, the severity data going into those models can be biased. That bias shifts the expected outcomes used for benchmarking and reporting, so risk-adjusted measures and related financial and quality metrics become distorted. In practice, over- or under-documenting illness severity can make performance look better or worse than it truly is, affecting penalties, incentives, and quality assessments. This isn’t just about one narrow area like patient satisfaction, and it certainly doesn’t improve predictive accuracy—the misinterpretation undermines the accuracy of the risk estimates used to judge performance.