🏥 Introduction Healthcare revenue leakage is a pervasive issue, particularly in high-complexity areas like surgical billing. A 2022 HFMA report estimated that U.S. hospitals lose 3%–5% of net patient revenue annually due to under-coding, missed charges, and documentation gaps—equating to tens of billions of dollars industry-wide. Recognizing this, a large multi-hospital health system in California piloted an artificial intelligence (AI)–powered charge integrity solution in its perioperative departments. The initiative focused on identifying unbilled charges and documentation inconsistencies in surgical cases—without increasing patient volume or changing clinical operations. 🧠 The AI Approach Technology Stack: The health system partnered with a health-tech…