Healthcare providers are facing a rapidly shifting financial reality where patients are becoming the primary source of payment, but many are still navigating billing experiences that were never designed for them. Against that backdrop, Cedar has announced a major expansion of its AI-powered platform aimed at personalizing the patient financial journey in real time. The move comes as new data shows growing dissatisfaction with medical billing experiences, particularly among financially at-risk patients, raising questions about how providers and their partners engage consumers moving forward.
Cedar’s expanded AI decision engine, Cedar Intelligence, is designed to move providers away from traditional one-size-fits-all billing workflows and toward more tailored engagement strategies. The platform uses more than 80 patient-specific attributes, including payment behavior, sentiment, and prior engagement, to determine the best outreach strategy, channel, timing, and resolution path for each individual.
The company says the system is built on insights from over 1.5 billion patient interactions and $10 billion in processed payments, allowing it to go beyond static propensity-to-pay models that rely heavily on historical data like credit scores and ZIP codes.
That shift may be necessary. According to Cedar’s 2026 Healthcare Financial Experience Study, many traditional indicators are no longer reliable predictors of payment behavior. Patients who appear financially stable on paper may still struggle to pay, while others delay payments due to confusion rather than inability.
The data highlights a growing disconnect:
- Only about 65% of patients report a satisfactory financial experience, with satisfaction dropping significantly among financially at-risk populations
- Nearly 40% of collectible healthcare dollars now come from uninsured patients, a figure that has grown sharply in recent years
- A significant portion of patients report that payment options presented to them are unaffordable, regardless of income level
Cedar’s platform attempts to address these gaps by dynamically adjusting the billing journey. For example, patients identified as financially at-risk may be routed toward payment plans or financial assistance options instead of receiving repeated payment reminders.
The expansion also includes new tools aimed at improving both self-service and assisted support. These include an AI-powered bill navigation feature embedded directly into digital statements, an agent copilot that provides real-time context to customer service teams, and an AI voice agent capable of proactively reaching patients who are less likely to engage digitally.
This focus on personalization reflects a broader trend identified in the report: reminders alone are not effective unless they are relevant to the patient’s situation. In fact, data shows that relevance, not timing or channel, is the primary driver of payment behavior.
For collection agencies, revenue cycle partners, and healthcare providers, the implications are clear. As patient financial responsibility continues to grow, strategies that rely on static segmentation and uniform outreach may fall short. Instead, success may increasingly depend on the ability to understand individual consumer circumstances and respond with the right message, at the right time, through the right channel.
