At a time when labs are operating on tight margins, revenue leakage is more dangerous than ever. Clinical laboratories, particularly those specializing in pathology, toxicology, molecular diagnostics, and genetic testing, are losing 20% to 40% of total billable revenue—and often don’t even know it.

Choosing the right laboratory software isn’t just an IT decision—it’s a business-critical investment that can shape everything from daily workflow to long-term profitability. Whether you’re a clinical lab, toxicology group, pathology practice, or molecular testing facility, the wrong system slows you down, exposes you to billing errors, and limits scalability.

There are two types of drudgeries:

Artificial intelligence (AI) continues to transform the healthcare industry, with radiology, patient portals, and AI faxing seeing significant advancements in 2025.

As the demand for mental health and substance use disorders services continues to grow, behavioral health billing in general has become increasingly complex. Providers must navigate evolving regulations, new diagnostic codes, and shifting reimbursement structures to ensure accurate billing and optimal financial outcomes.

The landscape of healthcare finance is rapidly evolving, and staying ahead of the curve requires understanding the latest trends in revenue cycle management (RCM). From technological disruption to emerging regulatory models, providers must adapt processes and systems to remain competitive, efficient, and financially stable. In this article, we examine the major trends shaping RCM today and into the future, provide comparison insights, and offer practical actions you can take now.

Healthcare Revenue Cycle Management (RCM) is the financial foundation of every type of healthcare organization. RCM should span the patient’s entire journey, from scheduling and eligibility verification to final payment collection, and even beyond with reminders to schedule next appointments as may be appropriate.

The following excerpt is from an article found on Medium.com. It was written by Hannah Williams.

Today’s overall healthcare landscape – including laboratories – is driven by data, speed, and accuracy. That’s why artificial intelligence (AI) has rapidly emerged as a transformative force in laboratory billing, helping to streamline administrative tasks, improve efficiency, and optimize revenue cycle performance.