If knowledge of a potential overpayment is obtained from an audit of a limited sample of claims, what does the cause of the error usually indicate?

If knowledge of a potential overpayment is obtained from an audit of a limited sample of claims, what does the cause of the error usually indicate?

• A. No inference should be drawn beyond the sampled claims.
• B. Where the knowledge of a potential overpayment is obtained based on an audit of a limited sample of claims, the cause of the error usually indicates there is a significant likelihood that similar error exists outside the claim included in the sample.
• C. That the sample is fully representative of all claims.
• D. That the auditee's corrective actions validate the sample.

Answer: (B)

When you audit only a subset of claims, what you can infer depends on the root cause of the error. If the knowledge of a potential overpayment points to a systemic weakness—such as a misapplied policy, a flawed automated rule, or a consistent data-entry pattern—the cause usually signals a high likelihood that similar errors exist in claims outside the sample. In other words, a shared, repeatable root cause suggests broader risk beyond just the sampled cases, so you shouldn’t assume the sample captures all instances. If the error were truly random and isolated, you wouldn’t expect the same issue to recur widely. Corrective actions address the problem, but they don’t by themselves validate that the sample represents the entire population.

When you audit only a subset of claims, what you can infer depends on the root cause of the error. If the knowledge of a potential overpayment points to a systemic weakness—such as a misapplied policy, a flawed automated rule, or a consistent data-entry pattern—the cause usually signals a high likelihood that similar errors exist in claims outside the sample. In other words, a shared, repeatable root cause suggests broader risk beyond just the sampled cases, so you shouldn’t assume the sample captures all instances. If the error were truly random and isolated, you wouldn’t expect the same issue to recur widely. Corrective actions address the problem, but they don’t by themselves validate that the sample represents the entire population.