Every specialty has its own payer rules, documentation standards, and modifier requirements, which our AI claim agent is trained on.
What is an AI claim Agent and how does it work?
An AI claim agent is an autonomous system that takes care of the entire claim lifecycle. It includes claim scrubbing, submission, tracking, appealing, and posting without any manual intervention. There’s NLP and ML behind its validation and it uses CARC and RARC code logic for problem resolution.
Can your AI claim agent handle multi-payer denials?
Yes, the AI reads CARC and RARC codes, cross-checks the policy rules, and identifies root cause patterns across the claim batch. This way it identifies and handles multi-payer denials in a single go.
How does an AI claim agent handle prior authorization?
The AI claim processing includes the capability to automatically detect whether prior authorization is required or not. It checks procedure & payer, collects clinical documentation from the EHR, submits the request, and tracks the status.
What happens when a claim requires human oversight?
It happens rarely but when it occurs, we have in-house professionals who take care of the escalated claim. What happens is the AI escalates the claim by flagging it, preparing a complete case summary, and routing it to the appropriate specialist.
How can your AI claim processing module reduce denial rates?
The AI scrubs every claim against payer edits, NCCI rules, and validates codes before submitting. This way it catches errors that would otherwise result in a denial. Also, machine learning identifies historical data and makes decisions from it which results in reduced denials.