Month: September 2025

How propensity-to-pay ​​models help healthcare providers improve collections

Key takeaways: Healthcare organizations are facing growing levels of bad debt and a sharp decline in collections. Propensity-to-pay models that utilize machine learning and robust data offer insight into a patient’s likelihood to pay and allow staff to focus their collections efforts where they matter most. In 2024, Experian Health clients that implemented Collections Optimization […]

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Q&A: How AI innovation is transforming healthcare revenue cycle management

Healthcare organizations are facing a perfect storm: rising claim denials, evolving payer rules, and patients expecting providers to reduce error rates that impact patient billing accuracy. Artificial intelligence (AI) has raised the stakes, causing revenue cycle leaders to feel the pressure to modernize quickly. According to Experian Health’s State of Claims 2025 survey, 73% of […]

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Leveraging artificial intelligence for claims management

Key takeaways: Manual work and disconnected claims management systems are often error-prone, resulting in delayed and denied claims. Technology, like automation and AI, can help healthcare organizations predict and prevent potential claims issues before submission. Implementing AI-powered claims management solutions should be a top priority for revenue cycle leaders. Healthcare claims denials are on the […]

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How OhioHealth cut denials by 42% with Patient Access Curator and solved claim errors at the source

TABLE OF CONTENTS Challenge: OhioHealth faced rising denials Solution: AI + machine learning to check eligibility Outcome: Patient Access Curator reduces denials What’s next: OhioHealth’s next steps “Registrars used to wonder, ‘Do I run Coordination of Benefits? Which insurance is primary?’ Now Patient Access Curator does all that work and removes the guess work, and […]

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