BCBSA said its analysis found a sharp increase in records identifying patients as having complex conditions. At the same time, the group said it saw a mismatch between those coding changes and the treatment patients actually received.
Luke Chalker, a senior vice president at BCBSA, said the analysis showed “no change in corresponding care for a more complex patient,” arguing that coding practices were changing even when treatment was not.
The dispute highlights how automation is becoming more deeply embedded in the administrative side of healthcare. Hospitals are increasingly using AI to help document visits and prepare claims, while insurers have also deployed automated systems to review, flag and deny claims.
Chalker described the current imbalance in stark terms. “It’s not a war. It’s a completely one-sided blood bath,” he said.
The analysis focuses specifically on hospitals’ use of AI for coding, rather than the broader use of automated tools by insurers. BCBSA argues that the technology is making it easier for providers to identify more complex billing codes at scale, increasing what insurers ultimately pay.
Abridge founder Dr. Shiv Rao acknowledged the risk of the two sides increasingly relying on automated systems against one another. He warned of “a horrible dystopic future nobody wants to live in,” with “bots fighting bots, agents fighting agents.”
Abridge sells AI documentation software to U.S. hospital systems. Its technology captures conversations between clinicians and patients and turns them into structured notes that can feed into billing and coding workflows.
Rao also argued that AI could eventually reduce administrative friction and lower costs, depending on how the technology is used and what incentives shape those deployments.
The $942 million figure comes from BCBSA, which represents insurers involved in the underlying payment disputes. It is not an independently audited estimate for the entire healthcare industry, and hospitals have not provided a detailed response to the group’s methodology.
Disputes over upcoding and reimbursement existed long before generative AI. What has changed is the ability to automate coding suggestions across large volumes of patient records, potentially increasing both the speed and scale at which more complex claims are submitted.
For hospitals, insurers and AI vendors, the BCBSA analysis adds a concrete cost figure to a growing debate over whether AI-powered documentation is improving billing accuracy or simply driving higher reimbursement without changing patient care.
This analysis is based on reporting from Newscord.
Image courtesy of Blue Cross Blue Shield.
This article was generated with AI assistance and reviewed for accuracy and quality.
