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.

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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.

Published: December 3, 2025 by Experian Health

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.

Published: November 24, 2025 by Experian Health

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 This article explores denial management strategies, why outdated processes fail and how AI-driven solutions can help reduce denials and streamline workflows.

Published: November 19, 2025 by Experian Health

Top reasons for healthcare claim denials include missing or inaccurate data, lack of prior authorizations, and incomplete patient registration.

Published: November 17, 2025 by Experian Health

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

Published: November 6, 2025 by Experian Health

AI and automation are transforming the claims management process. By streamlining workflows and minimizing errors, these technologies can help providers reduce denials, enhance operational efficiency and improve patient access to care.

Published: October 28, 2025 by Experian Health

AI is reshaping patient access by reducing manual errors and preventing costly claim denials. Tools driven by AI and automation can streamline eligibility checks and coordination of benefits — helping providers improve efficiency, cut costs, and deliver a better patient experience.

Published: October 15, 2025 by Experian Health

Denied claims are rising fast, putting revenue and patient trust at risk. Automated claims management and AI-enabled tools are becoming essential for providers to reduce denials, accelerate reimbursements and improve operational efficiency.

Published: October 10, 2025 by Experian Health

AI is modernizing healthcare revenue cycle management by automating manual tasks, improving data accuracy and reducing denials. This Q&A explores how healthcare organizations can utilize AI-driven tools to strengthen their financial performance.

Published: September 29, 2025 by Experian Health

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