The Growing Cost of Medical Bill Collection: How Healthcare Organizations Are Using New AI and Clinical Insights to Improve the Revenue Cycle Management Experience

As more hospitals and medical practices assess AI applications to improve medical bill collection and revenue cycle management more broadly, it’s a good opportunity to discuss what healthcare organizations see as the ROI for revenue cycle management. That was one of the topics of a webinar sponsored by Smarter Technologies. The conversation with Smarter Technologies…

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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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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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