# Blue Cross: AI Hospital Coding Costs $942M

> Blue Cross says AI tools added $942M in hospital coding costs over two years
- Title: Blue Cross: AI Hospital Coding Costs $942M · Dallas Express
- Summary: Blue Cross says AI tools added $942M in hospital coding costs over two years AI systems may be identifying more billable conditions without increasing…
- Keywords: blue cross, ai coding, hospital claims, medical complexity, blue shield, inpatient stays, diagnosis-related groups, texas health, insurance costs, medical documentation, news, politics
- Source: Dallas Express — https://dallasexpress.com/business-markets/blue-cross-says-ai-enabled-hospital-coding-added-942-million-in-costs
- Author: Dallas Express
- Published: 2026-09-28T11:00:03+00:00
- Read time: 1 min
- Topics: blue cross, ai coding, hospital claims, medical complexity, blue shield, inpatient stays, diagnosis-related groups, texas health, insurance costs, medical documentation, news, politics
## 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.
## Key takeaway

AI systems may be identifying more billable conditions without increasing treatment