What’s Happening
Artificial intelligence tools used by healthcare providers may have contributed to nearly $1 billion in additional costs for Blue Cross Blue Shield insurers over two years, according to a new study from the Blue Cross Blue Shield Association.
The study found that healthcare providers were increasingly documenting and billing for additional health conditions alongside the main condition being treated.
Between 2024 and 2025, providers more frequently billed for secondary conditions, adding about $653 million in costs for Blue Cross Blue Shield companies compared with the previous period.
Overall, more intensive care billing contributed about $942 million in additional costs over two years compared with 2023.
The insurers say AI tools may be playing a role because providers are using them to identify additional medical conditions in patients' records.
How Are Healthcare Providers Using AI?
Healthcare providers are increasingly using AI to review medical records and assist with documentation.
One example is an ambient AI scribe.
These tools can listen to conversations between doctors and patients and automatically create medical notes. This can save doctors time by reducing the amount of information they have to enter manually.
Other AI tools can scan existing patient records and identify medical conditions that may not have been highlighted previously.
These technologies can potentially improve documentation and help doctors find information in large medical records.
However, the Blue Cross Blue Shield Association says the same technology may also be identifying more conditions that can be included in insurance claims.
Why Do Additional Conditions Increase Costs?
When a patient has multiple medical conditions, their case can be classified as more complex.
In hospital settings, this can affect how much an insurer pays a healthcare provider for treating that patient.
For example, a patient admitted for one condition may also have anemia, a partial intestinal blockage or another condition documented in their medical record.
If that additional condition is included in the claim, the patient's case may be classified as more complex.
The Blue Cross Blue Shield Association says AI tools may be making it easier for providers to identify these additional conditions.
What Did the Study Find?
The study examined billing data from inpatient healthcare settings across Blue Cross Blue Shield's network.
The association represents 31 independent Blue Cross Blue Shield companies, which collectively cover more than 100 million people.
Researchers found that providers increasingly documented secondary conditions between 2023 and 2025.
For patients undergoing major bowel surgeries, for example, diagnoses involving partial intestinal blockages increased by 55%, while diagnoses involving an excess of acid in the body increased by 33% between the first quarter of 2023 and the fourth quarter of 2025.
The insurers say these increases did not always correspond with evidence that patients actually received more treatment for those conditions.
The Insurers See a Disconnect
Blue Cross Blue Shield officials say one of the biggest concerns is the difference between what is being documented and what is actually being treated.
For example, the association said that when anemia was documented more frequently, there was not a corresponding increase in blood transfusions.
Blood transfusions are a common treatment for patients with significant anemia.
The insurers argue that this could indicate that AI systems are helping providers find and document conditions that can increase reimbursement without necessarily resulting in additional treatment.
However, the study does not establish that providers are intentionally using AI to submit false claims.
The insurers' findings point to a possible connection between increased AI-assisted documentation and higher billing costs.
What’s Changing / Business Impact
AI is becoming increasingly common across the healthcare system.
Hospitals and healthcare providers are adopting AI tools to help with:
- Medical documentation
- Patient records
- Clinical decision support
- Administrative work
- Billing
- Coding
- Scheduling
These tools can potentially reduce administrative workloads and allow healthcare professionals to spend more time with patients.
But insurers are now paying closer attention to how AI affects medical coding and reimbursement.
If AI systems identify more diagnoses that result in higher reimbursement, insurers may need to develop new ways to check whether those diagnoses are supported by the patient's actual treatment and medical records.
This could lead to greater scrutiny of AI-assisted coding and documentation.
Why This Matters
The issue highlights a growing challenge in healthcare: AI can make information easier to find, but that does not necessarily mean every piece of information should lead to higher reimbursement.
For insurers, even small changes in the way providers document patient conditions can have a major financial impact when they occur across millions of patients.
For healthcare providers, AI tools can offer significant efficiency benefits, but they may also create additional scrutiny around billing practices.
The situation also raises broader questions about how insurers should evaluate AI-generated documentation and whether existing payment systems are prepared for widespread AI use.
Looking Ahead
Blue Cross Blue Shield insurers are likely to continue monitoring how healthcare providers use AI tools and how that use affects medical billing.
As AI becomes more common, insurers may develop additional systems to compare diagnoses with treatments and other patient information.
Healthcare providers may also need to review how AI-generated notes and coding recommendations are checked before they are included in claims.
The healthcare industry will need to find a balance between using AI to reduce administrative work and making sure that AI-assisted documentation results in accurate and appropriate billing.
What This Means for Healthcare Marketers
For healthcare marketers, this development shows that AI adoption can create new business needs across the healthcare system.
Healthcare insurers and providers may increasingly need solutions that help them understand:
- AI-generated medical documentation
- Claims and reimbursement patterns
- Healthcare spending
- Coding accuracy
- Provider behavior
- Data quality
- Potential billing anomalies
As AI changes how healthcare organizations operate, marketers selling into the industry should watch where those changes create new problems that organizations need to solve.
For example, insurers may invest more in technologies that can identify unusual billing patterns, while healthcare providers may need tools that help them verify AI-generated documentation before submitting claims.
For healthcare marketers, AI adoption itself can become a buying signal. When an organization begins using AI across clinical or administrative workflows, it may also develop new needs around data, compliance, analytics, reimbursement and technology.
Key Takeaways
- AI tools may have contributed to nearly $1 billion in additional costs for Blue Cross Blue Shield insurers over two years.
- The Blue Cross Blue Shield Association found that more healthcare providers were documenting and billing for secondary medical conditions.
- About $653 million in additional costs were linked to more frequent billing for secondary conditions between 2024 and 2025.
- Overall, more intensive care contributed about $942 million in costs over two years compared with 2023.
- Providers are using AI to scan medical records and tools such as ambient AI scribes to document patient visits.
- Blue Cross officials say some increases in documented conditions did not correspond with increases in treatment.
- The findings do not establish that providers intentionally submitted false claims.
- For healthcare marketers, the growth of AI in healthcare can create new demand for data, analytics, billing oversight, compliance and technology solutions.