One of the largest health systems with $4+ billion in net revenue relied on an inefficient, resource-intensive, and rule-based revenue cycle system. The low revenue opportunity findings with high false positives and high resource costs led to millions of dollars in lost net revenue due to missed charges and coding errors.

RevCaptureAI streamlined charge reconciliation by uncovering hidden revenue opportunities. Its predictive analytics detected complex charging patterns and missed charges at the account level for both hospital and professional billing. With seamless integration across diverse EMR systems worldwide, it continuously improved through feedback models, learning from auditor responses to enhance accuracy and make smarter predictions.