AI was supposed to cut health care costs. Instead, it's fueling a billing arms race.

Explore the hidden financial incentives reshaping medicine's AI revolution and discover who's profiting while patients pay more.

The problem with AI in health care

Artificial intelligence promises infinite abundance in health care: faster diagnoses, better outcomes, lower costs. That's not what's happening. Instead, AI is falling into the blind spots of our fee-for-service system, enabling new ways to game billing codes, and evolving faster than oversight can keep up. The results are technology that often raises costs instead of lowering them, leaving critical questions about patient care unanswered.

What you'll learn:

• Why fully approved AI diagnostic tools sit unused because providers can't bill for them and whether fee-for-service codes are the right path forward
• How AI scribes designed to reduce burnout are now mining clinical notes to identify overlooked billing opportunities
• What happens when insurers deploy AI to speed authorizations during a profit crunch and why providers question their motives
• Who's protecting patients as AI enters clinical decisions and medical devices while federal oversight recedes
  

This isn't speculation about AI's future. It's an evidence-based investigation into how AI is reshaping the flow of money in health care right now.