Search Results for: artificial intelligence
Providers must adopt OBBBA preparation strategies and new technologies to brace for the impact of increased self-pay patients, who account for the highest percentage of bad-debt write-offs, as well as additional administrative and documentation requirements, such as stricter eligibility checks and reporting mandates.
Modern revenue cycle optimization leverages AI and automation to help healthcare organizations capture revenue and maintain a healthy cash flow. This article outlines proven strategies for streamlining operations across the revenue cycle — from patient access and collections to claims and payer contract management.
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.
Claim scrubbing technology helps healthcare providers submit clean, accurate claims from the start - improving accuracy, reducing denials and maximizing reimbursements.
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.
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 This article explores denial management strategies, why outdated processes fail and how AI-driven solutions can help reduce denials and streamline workflows.
As the healthcare industry prepares for the implementation of the One Big Beautiful Bill Act (OBBBA), it’s clear that readiness is not one-size-fits-all. Hospitals are leading the way, but most providers will need focused updates to their Medicaid/Medicare processes to ensure compliance and protect revenue. In October 2025, Experian Health surveyed 200 healthcare decision-makers to get a better understanding of their readiness levels, where they’ll be impacted and what they’re focusing on, following implementation of the OBBBA. Here are the results: To prepare for incoming changes from the OBBBA, revenue cycle leaders will need to accelerate their adoption of artificial intelligence (AI) and automated solutions. AI-powered tools, like Patient Access Curator, can help providers streamline insurance eligibility checks and improve claims accuracy. Other tools, like Patient Financial Clearance, can help providers support their patients and minimize risks from uncompensated care. Is your revenue cycle team ready for OBBBA? Join us for an engaging and actionable three-part live webinar series to learn how to protect your financial performance before 2026 reforms take effect. Save your spot > Find out how Experian Health's revenue cycle management solutions can help your healthcare organization navigate upcoming regulatory shifts and changes. Learn more Contact us