Abstract: In an approach to identification and evaluation of generated claims, a system includes a computing device; an AI engine; a database; and program instructions to: receive measure documents; extracted claims and evidence; create a set of total claims from the received extracted claims; for each of the total claims: identify potentially relevant evidence from the database using the AI engine; for each of the potentially relevant evidence: evaluate a quality and a confidence level; for each of the total claims: determine whether each of the potentially relevant evidence supports each of the total claims; evaluate a claim status for each individual claim based on the quality and the confidence level of the potentially relevant evidence, and whether the potentially relevant evidence supports the individual claim; and evaluate the measure documents based on the total claims and the claim status of each of the total claims related to the measure document.