Which approach best helps detect gaming or upcoding attempts in CDI metrics?

• A. Monitor sudden DRG shifts with stable patient mix, irregular query patterns, and inconsistent POA flags.
• B. Compare CDI metrics to national benchmarks only once per year.
• C. Focus only on revenue figures to detect upcoding.
• D. Assume all coding is accurate if auditors are present.

Answer: (A)

Detecting gaming or upcoding in CDI metrics relies on spotting irregular coding patterns that don’t reflect the patient’s clinical reality. If you see sudden shifts to higher‑severity DRGs while the overall patient mix remains stable, that’s a red flag: without a real change in case complexity, a jump in DRGs suggests codes were adjusted to gain more reimbursement. Adding irregular CDI query activity strengthens that signal: a flood of queries or back‑and‑forth that aims to influence coding rather than clarify documentation indicates potential manipulation. Inconsistent or inappropriate POA flags further point to misrepresentation of when conditions actually began, undermining the accuracy of the coding.

These signals work together to reveal misalignment between documentation, coding, and clinical care, which is the heart of detecting upcoding or gaming. Relying on benchmarking only once per year misses timing and context; focusing only on revenue figures ignores documentation quality and clinical plausibility; assuming all coding is accurate if auditors are present ignores ongoing internal control and quality review. The combination of DRG stability with high‑level shifts, irregular query patterns, and POA inconsistencies provides the most reliable early indicators.