Which pattern could indicate data quality risk in CDI metrics?

• A. Consistently identical POA flags across all records.
• B. Irregular query patterns and inconsistent POA flags.
• C. Perfectly consistent documentation across all records.
• D. No missing data across all charts.

Answer: (B)

In CDI metrics, data quality risk shows up when there isn’t consistency in how data is captured and coded, especially around Present on Admission flags and the way charts are queried. Irregular query patterns suggest that the review process isn’t uniform—some charts may be pushed for documentation more aggressively than others—leading to nonstandard entries or gaps. Coupled with inconsistent POA flags, this points to misclassification and unreliable data that could distort the metrics. The combination signals a real data integrity issue.

By contrast, uniformly identical POA flags, perfectly consistent documentation, or no missing data across charts would be expected in ideal circumstances and, while they could raise questions in certain contexts, don’t point to data quality risk as clearly as the irregular querying paired with inconsistent POA classification.