What is the recommended way to integrate audits with CDI metrics?

What is the recommended way to integrate audits with CDI metrics?

• A. Maintain documentation for audits and validate data lineage with coders/auditors
• B. Ignore audits
• C. Outsource all audits
• D. Audit only yearly

Answer: (A)

Documenting audits and validating data lineage with coders and auditors is the best approach because it creates a clear, defendable trail from the raw documentation to the CDI metrics. When audits are well documented, you can see exactly who reviewed what, when it happened, and what changes were made, which protects data integrity and makes metric results auditable and trustworthy. Validating data lineage with the people who understand coding rules and payer requirements ensures the numbers truly reflect the coding and documentation process, not errors or opaque adjustments. This integration supports governance, accountability, and continuous improvement of CDI reporting. Ignoring audits leaves metrics unchecked and hard to defend; outsourcing everything can reduce visibility and control; auditing only once a year misses timely detection of issues and undermines data quality.

Documenting audits and validating data lineage with coders and auditors is the best approach because it creates a clear, defendable trail from the raw documentation to the CDI metrics. When audits are well documented, you can see exactly who reviewed what, when it happened, and what changes were made, which protects data integrity and makes metric results auditable and trustworthy. Validating data lineage with the people who understand coding rules and payer requirements ensures the numbers truly reflect the coding and documentation process, not errors or opaque adjustments. This integration supports governance, accountability, and continuous improvement of CDI reporting. Ignoring audits leaves metrics unchecked and hard to defend; outsourcing everything can reduce visibility and control; auditing only once a year misses timely detection of issues and undermines data quality.