AI reportedly denying health insurance claims with 90% error rate

A report highlights that AI systems used for health insurance claim denials are operating with a 90% error rate. This suggests a significant portion of automated denials may be flawed, forcing providers to invest time and resources into appeals for claims that should have been paid initially. While the report does not name specific payers, the trend of deploying AI for utilization management is industry-wide. Billing teams should meticulously track denial reasons and appeal success rates. If you observe a spike in automated denials, particularly those citing medical necessity without human review, document the patterns. This data strengthens appeal arguments and may be necessary for regulatory complaints if error rates persist.