Abridge Broadens AI Capabilities With Venture Into Pre-Bill Claim Review

Abridge is taking its artificial intelligence technology further into the healthcare revenue cycle with the launch of a pre-bill review capability aimed at clinical documentation integrity (CDI), programming and revenue cycle teams.

The new tool goes through the inpatient claims before they are submitted, checking whether the diagnoses and diagnosis-related groups (DRGs) assigned to a claim are supported by the underlying clinical documentation. When potential mismatches are detected, the system highlights the discrepancy and provides evidence from the medical record to support further review.

Abridge initially built its business around ambient listening and AI-generated clinical notes but has gradually moved into a broader range of administrative functions through what it calls a “clinical intelligence” system. The company has continued to build around the clinical conversation, extending its technology upstream into visit preparation and downstream into administrative and revenue cycle processes.

According to Abridge, its clinical AI technology gains information as patient encounters unfold and can carry that context into reimbursement-related workflows. With the pre-bill review capability, the same clinical record can be compared against the diagnoses and DRG attached to a claim, making inconsistencies easier to identify. CDI and coding professionals can then decide before submission whether the coded information accurately represents the complications of the care documented.

The company emphasized that the technology does not modify clinical documentation, alter codes or change the status of claims. Those decisions remain with CDI teams, which retain authority over whether a claim should be held, corrected or released.

Abridge CEO and co-founder Shiv Rao said healthcare organizations are ultimately paid according to the care they document rather than simply the care they provide. He explained that Abridge had initially addressed this documentation gap at the point of care by identifying diagnoses while clinicians were creating their notes and prompting them to consider missing information before leaving the encounter.

Rao noted that the process between an encounter and the eventual claim can involve weeks and numerous people, creating opportunities for important clinical details to be lost. He said Abridge’s broader platform is intended to preserve that clinical context across health system decision-making, allowing clinicians and CDI specialists to work from the same underlying record and helping claims more closely reflect the care that actually occurred.

Abridge said its technology is currently used by 300 of the biggest and most intricate health systems in the U.S., with the platform expected to support more than 100 million patient-clinician conversations during the year.

The pre-bill review capability represents another expansion of Abridge’s AI platform into both clinical and administrative operations. Last year, the company introduced a “contextual reasoning engine” capable of generating billable clinical notes intended to support appropriate claims documentation at the point of care.

Abridge has also been collaborating with Highmark Health on an AI-driven prior authorization solution designed to operate during the clinical encounter. Separately, the company announced a partnership with real-time health information network Availity at the J.P. Morgan Healthcare Conference in January to scale AI-enabled prior authorization.

Abridge is expanding its healthcare AI capabilities beyond clinical documentation with a new pre-bill review capability designed for clinical documentation integrity (CDI), coding, and revenue-cycle teams. The company announced the new capability on September 14, 2026.

Abridge Moves AI Into Revenue Cycle Workflows

The new Abridge capability reviews inpatient claims before they are submitted for reimbursement. It compares final coded diagnoses and diagnosis-related groups (DRGs) with the clinical documentation to identify potential discrepancies.

When a discrepancy is identified, Abridge provides supporting evidence from the clinical record so CDI and coding teams can review the issue before the claim is submitted. The company says teams retain control over whether a claim should be held, corrected, or released.