How do predictive analytics improve propensity-to-pay scores in healthcare RCM?

At A Glance 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. Key takeaways: Providers are facing increasing bad debt levels and a sharp decline in patient collection rates. Propensity-to-pay models use predictive analytics…

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Infographic: The evolving role of AI in healthcare RCM

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 remainslimited, especially for high-stakes decision-making, confidence is rising. Privacy, security, and implementation costs continue to posesignificantchallenges. However,providersbroadly agreethat…

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Revenue cycle management (RCM): A complete guide

Key takeaways: Efficient revenue cycle management is crucial to ensuring efficient hospital operations and building financial stability. RCM technology solutions allow healthcare organizations to increase cash flow and improve operational efficiency across the entire revenue cycle. Revenue cycle management tools from Experian Health utilize data-driven insights, automation and AI to optimize revenue cycles, while supporting…

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