Blue Cross: AI Hospital Coding Costs $942M

Blue Cross says AI tools added $942M in hospital coding costs over two years

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Sep 28, 2026

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Blue Cross: AI Hospital Coding Costs $942M

Blue Cross says AI tools added $942M in hospital coding costs over two years

In brief

Blue Cross says AI tools added $942M in hospital coding costs over two years AI systems may be identifying more billable conditions without increasing treatment Originally reported by Dallas Express.

AI Coding Costs Surge

AI Coding Costs Surge

Blue Cross analysis shows hospital claims classified patients as medically complex increased from 37% to 40% between 2023 and 2025, adding $942 million in costs.

“If patients are truly sicker, we'd expect to see more treatment.”

Anemia Example

Hospitals using AI recorded significantly more anemia diagnoses without a corresponding increase in blood transfusions.

“The disconnect between diagnoses and treatment suggests AI is identifying more billable conditions, not sicker patients.”

Bowel Procedures Shift

Hospitals coding bowel procedures at the highest complexity level increased from 10.2% to 22.7% between early 2023 and late 2025.

“Hospitals in the top quartile for anemia diagnoses coded the condition in 13.7 percent of cases, compared with 9.9 percent at other hospitals.”

Hospital Response

American Hospital Association argues hospitals are caring for older, sicker patients and AI helps document medical complexity more accurately.

“The question that is worth asking is why one hospital would diverge when treating similar patients.”

AI Adoption

Over 60% of hospital systems now use AI tools to examine clinical notes and lab results for diagnoses affecting coding.

“AI can help process claims, automatically approve some requests and alert staff when something appears wrong.”

Cost Impact

70% of the $942 million cost increase came from secondary diagnoses moving hospital stays into higher-paying billing categories.

“The disconnect between diagnoses and treatment suggests AI is identifying more billable conditions, not sicker patients.”

Insurance Denials

Insurers denied 19% of in-network claims and 37% of out-of-network claims in 2024, including medical necessity determinations.

“Claims can be rejected for reasons including excluded services, medical-necessity determinations, network issues, billing errors, missing information or failure to obtain required prior authorization.”

Texas Health Plan

Texas governor proposed a health plan that could lower premiums by nearly 20% by allowing employer group plans to exclude some state-mandated benefits.

“The Texas insurer also says it does not use AI to replace physicians' medical findings or deny care.”

AI in Insurance

Blue Cross Texas uses AI to process claims and alert staff about potential errors but states it does not deny care based on AI.

“Human judgment should continue to guide its use of the technology.”

Key Dispute

Blue Cross says AI identifies more billable conditions without increasing treatment, while hospitals say it captures existing medical complexity.

“The pattern suggests technology is increasingly identifying diagnoses that increase reimbursement without corresponding changes in treatment.”

What matters most

AI systems may be identifying more billable conditions without increasing treatment

Read the original on Dallas Express

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