Curie Brief
Turn on cookies to sign in
Signing in saves your progress to your Curie account. We can only do that with cookies on — turn them on to continue.

A new Blue Cross Blue Shield Association study found that AI tools used by healthcare providers drove up insurer costs by nearly $1 billion over two years. Providers are using AI — like ambient scribes and record-scanning tools — to flag more secondary conditions, which command higher payments. But the data suggests AI may be identifying more billable diagnoses, not genuinely sicker patients.
A new study from the Blue Cross Blue Shield Association (BCBSA) is raising red flags about how AI tools are reshaping healthcare billing. Between 2024 and 2025, providers increasingly documented secondary conditions — illnesses coexisting alongside the primary diagnosis — driving up costs by $653 million for BCBS companies. In total, more intensive care documentation added $942 million in costs over the two-year period compared to 2023.
The culprit? AI tools like ambient scribes and record-scanning software that passively identify additional billable conditions from patient records and conversations. More complex documented cases mean higher reimbursements — especially in hospital settings where secondary conditions can bump a case into a higher-cost category.
But here's the catch: the data doesn't show a corresponding rise in actual treatment. For example, diagnoses of anemia increased, but blood transfusions — a standard treatment — did not. Similarly, secondary conditions flagged during major bowel surgeries surged, without matching upticks in care.
By the Numbers:
Why it matters: If AI is inflating billing without improving patient care, it signals a systemic problem at the intersection of technology, reimbursement, and accountability — one that could reshape how insurers scrutinize AI-assisted documentation going forward.