AI Battles in US Healthcare: Hospitals vs. Insurers Over Billing

Top Summary

• What happened: US hospitals and insurers are increasingly using AI to manage medical billing and reimbursements, leading to a tech-driven contest over healthcare costs.
• Why it matters: This development highlights the growing influence of technology in determining payments to healthcare providers and could significantly impact healthcare spending.
• What changes for people: The widespread adoption of AI may affect the accuracy and cost of medical billing, potentially impacting patient costs and insurance premiums.
• Who is affected: Hospitals, insurance companies, healthcare providers, and ultimately, patients are all affected by this AI arms race in healthcare.

AI Fuels Billing Disputes

Artificial intelligence (AI) is reportedly playing a significant role in resolving, and simultaneously fueling, disputes between US hospitals and insurance companies.

A Reuters report indicates that AI tools are being used to document procedures and justify higher payments by hospitals, while insurers are deploying AI to review the necessity of treatments and billing claims.

This creates a technology-driven dynamic where each side is leveraging AI to optimize their financial positions.

Insurers Scrutinize with AI

Insurers have increased their utilization of AI systems to identify potentially unnecessary treatments and medical bills. They believe that AI-driven coding could potentially increase healthcare spending.

Centene CEO Sarah London highlighted concerns about aggressive revenue software potentially leading to inflated diagnoses like sepsis in emergency departments.

The Blue Cross Blue Shield Association estimates that $663 million in inpatient and $1.67 billion in outpatient spending may be linked to aggressive coding enabled by AI tools.

"We are seeing more AI tools used at different points in the care and billing process, and when those tools operate independently, they can unintentionally lead to friction," said Razia Hashmi, vice president of clinical affairs at the association.

Hospitals Fight Back with AI

Hospitals are deploying AI-based software to meticulously document services and assign medical billing codes, potentially leading to higher reimbursement rates.

Hospitals argue that AI tools are necessary to counter increasing claim denials and lower reimbursements from insurers.

HCA Healthcare anticipates approximately $400 million in cost savings in 2026 from AI initiatives.

The Cost of AI vs. AI

Some experts suggest that the duel between hospital AI and insurer AI could negate any overall cost-saving benefits.

"The idea of (AI) bot versus bot is intrinsically a situation where no one's going to win," said Christina Silcox, research director of digital health at the Duke-Margolis Institute for Health Policy.

Consulting firm McKinsey & Company estimates insurers could save around $970 million for every $10 billion in revenue using AI for claims management, prior authorization reviews, and clinical decision support.

Morgan Stanley projects that AI-driven improvements in hospital care could save up to $900 billion by 2050.

Healthcare's AI Spending Spree

Healthcare organizations are significantly increasing investments in AI tools.

Venture capital firm Menlo Ventures reported that healthcare AI investment reached about $1.4 billion in 2025, nearly three times the level recorded in 2024.

UnitedHealth Group plans to invest around $1.5 billion in AI this year, with similar spending expected in 2027, anticipating nearly $1 billion in savings in 2026.

Adjusting to the New Reality

Providence Chief Health Information Officer Maulin Shah emphasizes the need for both insurers and healthcare providers to adapt to the increasing role of AI.

"It's going to require adjustments in the relationship between the payers and the providers to understand this new reality. Unfortunately, what we're seeing is AI fighting AI," Shah added.

What to Watch Next

The evolving AI landscape in healthcare billing will likely lead to further adjustments in relationships between payers and providers. Monitor upcoming regulatory changes and industry standards governing AI implementation in healthcare to understand the shifting dynamics.