technology

Rethinking Bad Debt: How to Unlock Hidden Revenue from Terminal Bad Debt

For decades, health systems have accepted bad debt as an unavoidable loss. Once balances were returned from collections, providers had little choice but to write them off or sell them for pennies on the dollar. But times are changing. With shifting regulations, evolving patient finances, and smarter technology, hospitals and physician groups now have a better option. In this blog, we explore how healthcare organizations can rethink terminal bad debt—and uncover hidden revenue that was once considered gone forever.

Regulatory Update: What the Latest Rules Mean for Medical Debt Collections

Bottom line: The federal rule that would have scrubbed medical debt from credit reports and barred lenders from using it in credit decisions was vacated by a federal court on July 11, 2025. That means the pre-existing national framework (FDCPA + FCRA + IRS 501(r) for nonprofit hospitals) is back to being the operative baseline—layered with a fast-moving patchwork of new state laws that (in some places) ban reporting, cap interest, and even prohibit selling medical debt to third-party buyers. If you collect or sell healthcare receivables, you’ll want to recalibrate policies now to the states you operate in, tighten 501(r) compliance, and build controls for “surprise billing” and dispute resolution.

Payers vs. Providers: Increased Denials Cause Elevated Frustration

The relationship between healthcare providers and insurance payers is at a breaking point. What was once a shared mission to deliver quality patient...

PayJourney Includes the Option of Non-Recourse Loans to Increase Patient Payments

PayJourney™ is the healthcare industry’s first end-to-end concierge-service designed to improve the patient and provider financial experience – all...

Understanding AI, Machine Learning, and RPA in Healthcare Revenue Cycle Management: A Perspective from Frost-Arnett

In the rapidly evolving world of healthcare revenue cycle management (RCM), technology plays an essential role in improving efficiency, reducing errors, and enhancing customer interactions. Two of the most transformative technologies making an impact are Artificial Intelligence (AI) and Machine Learning (ML). These innovations are helping streamline processes, predict outcomes, and enable data-driven decision-making. But understanding the differences between AI, ML, and another related technology, Robotic Process Automation (RPA), can be a challenge. At Frost-Arnett, we are actively utilizing these technologies to improve our operations and customer service. In this blog post, we’ll break down these concepts and explain how they fit into the healthcare RCM landscape.

What is change management and why is it important?

In today’s fast-paced healthcare environment, health systems are constantly implementing new solutions to enhance operations and improve patient experiences. However, the reality of “implementation fatigue” is all too familiar. By managing the operational redesign, optimizing workflows, and providing hands-on training, Frost-Arnett significantly reduces the burden on your staff and accelerates the realization of benefits.