Blue Cross Says Hospital AI Coding Added $942 Million In Healthcare Costs

Artificial intelligence tools used for hospital billing may be pushing healthcare spending higher, according to a Blue Cross Blue Shield Association analysis that estimates changes in medical coding added $942 million in spending for BCBS companies between 2023 and 2025.

However, hospitals dispute claims that AI is improperly increasing coding intensity, arguing that patients are becoming more medically complex and AI can improve the accuracy of clinical documentation and billing.
 

TL;DR

 

• BCBSA estimates changes in hospital coding added $942 million in healthcare spending between 2023 and 2025.
• The insurer group says coding for complex conditions increased as hospitals adopted AI tools without evidence of corresponding changes in care.
• The American Hospital Association disputes claims that AI is driving inappropriate coding.
• The disagreement highlights growing tensions as hospitals and insurers increasingly use AI in billing and reimbursement.

 

Blue Cross Links AI Coding To $942 Million In Healthcare Spending

AI is rapidly moving into healthcare, but its growing role in hospital billing is raising questions about whether the technology is also contributing to higher costs.

The Blue Cross Blue Shield Association (BCBSA) released an analysis of BCBS claims data that found a sharp increase in patients being documented as having complex medical conditions as hospitals implemented AI coding tools.

According to BCBSA, these changes appear to have added an estimated $942 million in healthcare spending for BCBS companies between 2023 and 2025. The association said those costs could ultimately contribute to higher premiums and out-of-pocket expenses for families, employers and taxpayers.

BCBSA argues that the increase cannot simply be explained by patients receiving more complex treatment.

The organization said its analysis found a disconnect between coding and treatment, with coding changing without evidence of a corresponding change in the care patients received.

One area drawing particular attention is secondary diagnoses.

A patient may receive a secondary diagnosis alongside the primary reason they are receiving treatment, which can move them into a higher-cost billing category. According to BCBSA, some of these secondary diagnoses can be identified from individual laboratory values, making them particularly suitable for detection by AI-powered coding systems.

The development adds another complication to the long-running dispute between healthcare providers and insurers over how medical treatment is documented, billed and reimbursed.

TechCrunch reported that BCBSA Senior Vice President Luke Chalker rejected describing the situation as a war between insurers and hospitals, instead saying insurers currently face a “completely one-sided blood bath.”
 

 

Hospitals Dispute Claims That AI Is Driving Improper Coding

The hospital industry has pushed back against the argument that AI-assisted coding is improperly driving healthcare costs higher.

The American Hospital Association (AHA) says claims connecting AI with higher coding intensity ignore other changes taking place across healthcare, including an aging population, increasing rates of chronic disease and hospitals treating patients with more complex conditions.

According to the AHA, its data shows that 19% of hospital expense growth between 2019 and 2024 reflected hospitals caring for sicker and more complex patients. An AHA and Vizient analysis also found that the hospital case-mix index, a measure of patient complexity, increased by around 5% during that period.

The association argues AI tools can instead help providers improve coding accuracy, reduce documentation time and administrative workloads, and ensure patient complexity is represented accurately.

It also stresses that healthcare providers remain responsible for validating coding and complying with regulatory, contractual and ethical requirements regardless of whether AI tools are involved.
 

Insurers Are Using Automation Too

The dispute becomes more complicated because hospitals are not the only side introducing automation into healthcare billing.

The AHA says some commercial insurers use automated edits to reduce reimbursement for higher-level care through so-called downcoding or partial denials.

According to the association, these systems can reduce payments without reviewing medical documentation, leaving providers to appeal decisions to receive reimbursement for care they say was medically necessary.

The AHA has called on US policymakers to address inappropriate automated payment reductions and disputes the suggestion that increasing coding intensity is primarily being driven by AI.

That means AI and automation could increasingly appear on both sides of a medical claim, with providers using the technology to document and code treatment while insurers deploy automated systems to scrutinize or adjust those claims.
 

 

AI Could Create A Battle Between Healthcare Agents

The possibility of increasingly automated disputes has also caught the attention of companies building AI technology for healthcare.

Abridge founder and CEO Dr. Shiv Rao acknowledged that widespread adoption could produce an undesirable scenario involving “bots fighting bots, agents fighting agents,” according to TechCrunch.

However, Rao also argued that AI could ultimately reduce friction between the two sides and lower costs rather than simply intensifying disputes.

For now, the $942 million figure remains BCBSA's estimate based on its claims analysis rather than independent proof that AI itself caused that additional spending.

With hospitals disputing the insurer industry's interpretation and both providers and payers adopting more automation, the bigger question may be whether AI makes the already complex healthcare billing system more efficient or simply automates the fight over who pays.