Most people are still debating AI regulation. While New York has introduced, voted on, and signed an AI Regulatory Bill into law Have other States missed the shift? The Rise of Pro-human AI laws is no longer theoretical—it's happening right now. While others hesitate, New York has already moved the needle! NY State Assembly Bill 2025-A6453A In December 2025 alone, three major signals dropped: The RAISE Act was introduced and is forcing accountability for high-risk AI model

It is time for an AI-RCM Transparency Reset! It's 2026, and Artificial Intelligence (AI) in Revenue Cycle Management (RCM) is shifting from experimental tools to a foundational AI-powered infrastructure. This transformation significantly changes the workforce by automating routine, rules-based tasks like clinical documentation integrity (CDI), medical coding, denial management, and eligibility verification. While these advancements may lead to job displacement in manual, entr

Is AI Coding Correctly? AI in Healthcare RCM is Failing Despite Heavy Investment The core problem is that AI tools are being built on flawed foundations — trained only on historical claims data without clinical context — and can't keep up with constantly changing payer rules Becker Hospital Review . We focus on Three Key Failure Points here: Denials are getting worse, not better. Denial rates jumped from 30% (2022) to 41% (2025), even as AI adoption increased. AI essentially

The Dark Side of AI We see the same mistakes over and over again in Artificial Intelligence (AI) and Revenue Cycle Management (RCM) projects: data drift, misaligned KPIs, and weak governance. An example of issues that shrink projected revenue and create quality and compliance risks on implementation projects is provided below: Drift and Decay: The AI Model Gets Worse Silently The Pitfalls: Teams launch new AI models and forget about them. The environments begin to change ov