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
In this guide to healthcare revenue cycle management, learn how healthcare organizations can optimize the revenue cycle process at every stage of the patient journey to increase reimbursements and improve operational efficiency.
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.
To meet evolving price transparency regulations, University of Tennessee Medical Center (UTMC) partnered with Experian Health to implement Patient Estimates. This integrated solution helped UTMC maintain compliance, increase estimate delivery and empower patients with clearer cost breakdowns.
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.
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.
Automated authorizations software helped USA Health transform their prior authorizations process – streamlining workflows, decreasing errors and improving staff productivity.
Propensity-to-pay models forecast which patients are likely to pay their bills, enabling smarter prioritization. By using data-driven automation, these tools help healthcare providers boost collections, reduce bad debt and improve overall revenue cycle efficiency.
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.
