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, significantly transforming the workforce by automating routine, rules-based tasks like clinical documentation integrity (CDI), medical coding, denial management, and eligibility verification. While these moves are supposed to cause some job displacement in manual, entry-lev

Yesterday, we asked: Is AI Coding Correctly? Today, we follow up with, if AI is Coding Incorrectly, what does one do in this Supercharged AI environment? When patient services are coded incorrectly, and organizational leadership is challenged to believe you. The situation shifts from a technical issue to a compliance and ethical crisis. Incorrect coding—whether upcoding ( billing for higher services ) or downcoding ( missed revenue ) —violates False Claims Act (FCA) regu

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

Data quality erodes over time without detection, degrading AI outputs. We map AI Quality Controls to measurable financial risk reduction in revenue cycle management (RCM). Our targeted QA Auditing identifies and reduces claim errors, lowers denials, and improves net collections—so CFOs see clear ROI. For example, a 4% error-rate reduction on $200M annual gross charges can yield ~$2.4M in additional net collections after write-offs and cost numbers validated through P3 Quality