AI Insights
Learn about artificial intelligence (AI)’s role in simplifying complex healthcare revenue cycle challenges, from reducing denials to improving eligibility verification and accelerating collections.
Widespread adoption of AI in healthcare revenue cycle management is growing, according to Experian Health’s latest survey. But many providers feel that human oversight still plays a critical role. Discover insights on key trends, use cases and barriers to AI’s evolving role in RCM.
For healthcare providers, claim denials are a constant drain on revenue and staff capacity. Jason Considine, President at Experian Health, sees three ways artificial intelligence (AI) can break this cycle: by preventing avoidable errors, prioritizing high-value resubmissions and using data insights to reduce denials over time.
Revenue cycle management (RCM) teams are facing a year of major change, with new regulations, tighter margins and the adoption of artificial intelligence (AI) increasing the pressure on workflows. This article outlines Experian Health’s five RCM predictions for 2026, along with tools to consider when building a resilient revenue cycle.
Hospitals that treat Medicaid patients should update their eligibility and billing systems now to prepare for the One Big Beautiful Bill Act (OBBBA), which will bring major changes to Medicaid.
Nearly two-thirds of healthcare providers now use artificial intelligence (AI) in their revenue cycle management (RCM) processes, according to Experian Health’s latest survey. Discover key insights on AI’s evolving role in healthcare, including barriers and top use cases.
Manual insurance eligibility checks are slow, error-prone and a leading cause of claim denials. Find out how automated insurance verification delivers real-time accuracy, fewer billing errors and faster reimbursements — helping providers protect revenue and improve patient care.
Denial management is the process of addressing why healthcare claims are rejected or denied, instead of resolving them after they occur. This article explores denial management strategies, why outdated processes fail and how AI-driven solutions can help reduce denials and streamline workflows.
Top reasons for healthcare claim denials include missing or inaccurate data, lack of prior authorizations, and incomplete patient registration.
When it comes to artificial intelligence (AI) usage in the healthcare industry, adoption is steadily gaining momentum as providers explore new ways to utilize this technology in their revenue cycle management (RCM) processes. While full trust in AI remains limited, especially for high-stakes decision-making, confidence is rising. Privacy, security, and implementation costs continue to pose significant challenges. However, providers broadly agree that AI will become a cornerstone of healthcare RCM in the next few years, especially in areas like eligibility verification and patient access. Many also acknowledge that human oversight will remain essential, to ensure accuracy and trust. In October 2025, Experian Health surveyed 200 healthcare leaders to better understand how much they trust AI for decision-making, their biggest barriers to adoption, and where the opportunities lie. Here are the results: AI in healthcare RCM isn’t the future; it’s happening now. Learn how healthcare organizations are using Experian Health’s AI technology to streamline patient access and reduce claim denials. Learn more Contact us