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.
Propensity-to-pay models use predictive analytics to help healthcare organizations understand patient payment behavior. Learn how providers can leverage these tools to prioritize collections, improve cash flow and reduce bad debt.
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 This article explores denial management strategies, why outdated processes fail and how AI-driven solutions can help reduce denials and streamline workflows.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.