Which practice helps detect irregular query patterns in CDI auditing?

Which practice helps detect irregular query patterns in CDI auditing?

• A. Conduct a single audit per year.
• B. Compare results across multiple audits and track for sudden changes.
• C. Ignore queries and focus on documentation length.
• D. Rely solely on automated systems without human review.

Answer: (B)

Tracking patterns over time is essential for spotting irregular query activity in CDI auditing. When you compare results across multiple audits and watch for sudden changes, you establish a baseline of normal activity and can flag deviations that may indicate unusual or improper querying, coding practices, or documentation gaps. A single audit only provides a snapshot and can’t reveal evolving patterns. Focusing on documentation length while ignoring the relationship between queries and coding intent misses important context, and relying solely on automated systems without human review can overlook nuanced irregularities. So, comparing across audits and monitoring for abrupt shifts is the strongest approach for detecting irregular query patterns.

Tracking patterns over time is essential for spotting irregular query activity in CDI auditing. When you compare results across multiple audits and watch for sudden changes, you establish a baseline of normal activity and can flag deviations that may indicate unusual or improper querying, coding practices, or documentation gaps. A single audit only provides a snapshot and can’t reveal evolving patterns. Focusing on documentation length while ignoring the relationship between queries and coding intent misses important context, and relying solely on automated systems without human review can overlook nuanced irregularities. So, comparing across audits and monitoring for abrupt shifts is the strongest approach for detecting irregular query patterns.