Newsletters

Unveiling the Hidden Challenges in Mental Health Billing Behavioral health practices play a critical role in patient well-being—yet many face a persistent and frustrating challenge: higher-than-average claim denial rates. Compared to other medical specialties, mental and behavioral health providers often experience delayed reimbursements, frequent rejections, and increased administrative workload. Understanding

The Future of Revenue Cycle Management Is Proactive, Not Reactive ⚠️ The $262 Billion Problem in Plain Sight Every year, healthcare organizations lose an estimated $262 billion in revenue due to denied claims. Industry data shows that 5–10% of all claims are denied on first pass, and up to 65%

In the ever-evolving world of healthcare finance, automation is no longer just a tool for cost reduction — it’s a strategic enabler of accuracy, transparency, and better patient experiences. From streamlining billing processes to improving compliance, automation in the healthcare revenue cycle is redefining how providers manage their operations and

In a healthcare system already stretched thin by administrative burdens, medical billing errors, manual processes, and payment delays remain persistent challenges. These issues not only impact financial performance but also disrupt patient satisfaction and trust. But the landscape is changing — Artificial Intelligence (AI) is redefining accuracy, efficiency, and reliability

In today’s evolving healthcare landscape, payer policy changes are reshaping how small medical practices operate. From reimbursement shifts to compliance demands, understanding these changes is essential for ensuring financial stability and quality patient care. This newsletter explores how payer policy updates affect small practices and practical ways to adapt, stay

Understanding the Evolving Landscape of Medical Billing in 2025 The world of medical billing is evolving faster than ever. In 2025, specialty practices face increasing pressure to adapt to regulatory updates, new reimbursement models, and growing patient volumes—all while maintaining accuracy and compliance. To stay ahead, healthcare providers must understand

Healthcare practices are facing a silent crisis — the rising cost of claim denials. Each rejected claim doesn’t just mean administrative hassle; it directly impacts practice profitability, staff productivity, and patient satisfaction. But here’s the good news: Artificial Intelligence (AI) is changing the game in Revenue Cycle Management (RCM) —

Imagine this: you hire a new provider, fill their schedule, and then discover none of their claims are payable because credentialing isn’t complete. Suddenly, you’re sitting on 90+ days of unpaid visits. The Real Cost of Credentialing Delays: Lost revenue from services you can’t bill Angry patients due to insurance

Your revenue cycle is supposed to be the heartbeat of your practice — yet for many providers, it feels more like a slow leak. You submit claims, wait weeks for payment, and still end up writing off thousands in unpaid balances. The Pain Points We Hear Every Day: “Our A/R