Artificial Intelligence is transforming industries across the board—but what about healthcare?

In this episode of the Cutting Edge Benefits Podcast, Tom Quigley dives into one of the biggest emerging questions in the industry:

Will AI actually reduce healthcare costs… or just make the system more profitable for insurers and hospitals?

From billing automation to claim denials and drug pricing strategies, Tom breaks down how AI is already being used—and why it may not benefit employers and consumers the way many expect.

Hospitals and healthcare systems are increasingly integrating AI into their billing and administrative processes.

These systems are being used to:

• Analyze medical documentation
• Optimize charge capture
• Automate billing communications
• Improve collection processes

In many cases, AI is helping providers become more efficient at maximizing billable revenue rather than reducing costs for patients.

Insurance carriers are also leveraging AI to streamline claims processing.

This includes:

• Faster approvals
• Faster denials
• Automated claim reviews
• Pattern recognition for potential discrepancies

While this can improve speed and efficiency, it also raises concerns that AI may lead to quicker claim denials without human review.

Pharmacy Benefit Managers (PBMs) are using AI to:

• Analyze drug pricing trends
• Monitor competitor pricing
• Adjust formularies
• Optimize rebate strategies

With AI processing massive datasets in seconds, PBMs can make rapid pricing decisions that were previously much slower to execute.

In theory, AI should:

• Reduce administrative overhead
• Eliminate inefficiencies
• Decrease labor costs
• Improve system accuracy

But in reality, Tom explains that healthcare operates differently.

Because many players in the system are for-profit organizations, efficiency gains do not automatically translate into lower costs.

Instead, they often lead to:

• Higher margins
• Faster collections
• Increased profitability

One of the biggest concerns raised in the episode is that AI may actually accelerate the system rather than fix it.

Potential outcomes include:

• Faster billing cycles
• Faster claim denials
• More aggressive revenue optimization
• Increased pricing precision

In other words, AI may make the system more efficient—but not necessarily more affordable.

While large-scale cost reduction may not occur, there are some areas where AI could provide value:

• Faster onboarding and plan setup
• Reduced paperwork
• Streamlined administrative tasks
• Improved data processing

However, these benefits are largely operational—not financial.

Tom emphasizes that AI is simply a tool.

Its impact depends entirely on how it’s used.

In a system driven by profit and complex regulations, AI is more likely to:

• Enhance existing structures
• Improve efficiency for providers and insurers
• Increase speed and scale of current practices

Rather than fundamentally lowering healthcare costs.

• AI is already being used extensively in healthcare billing and insurance processing.
• Efficiency gains do not automatically translate into cost savings for employers.
• Faster systems may lead to faster denials and more aggressive billing practices.
• PBMs and insurers can use AI to optimize pricing and maximize profits.
• AI is a tool—not a solution to the underlying cost issues in healthcare.

“AI doesn’t fix the system—it just makes it run faster.”

This episode is ideal for:

• Business owners evaluating healthcare trends
• HR leaders managing benefits programs
• CFOs focused on cost control
• Anyone curious about AI’s real impact on healthcare

If you’re looking for ways to actually reduce healthcare costs—not just automate them—visit:

ClaimLinx.com

Schedule a call with Tom Quigley and his team today.

🎧 Listen to the full Cutting Edge Benefits Podcast for more insights on healthcare strategy, cost control, and emerging industry trends.