Which type of software process is typically used to identify potential claim errors?

Data mining is the process that is typically used to identify potential claim errors. This technique involves analyzing large sets of data to uncover patterns, correlations, and anomalies that can signify issues in billing and claims submissions. By applying sophisticated algorithms and statistical methods, data mining can help organizations identify trends that may indicate errors or areas of concern that need further investigation, such as coding inaccuracies or compliance violations.

In the realm of healthcare and claims management, effective data mining can enhance the overall accuracy of claims submitted, reduce the rate of denials, and improve financial outcomes by catching errors before they escalate into larger issues.