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Anomaly is an AI-powered payer management platform built for healthcare revenue teams to “know your payers as well as they know you.” It surfaces hidden payer behaviors by decoding complex rules and detecting payment patterns across hundreds of millions of healthcare encounters. The core engine, Smart Response, continuously analyzes payer logic, adapts to shifting policies, and embeds learnings directly into existing revenue cycle workflows to provide real-time denial prediction, assisted claims correction, and alerts to revenue risks. By integrating payer-specific insights into existing systems, users can anticipate revenue loss, negotiate payer contracts from a stronger position, and proactively correct or reverse denials before they impact cash flow. The system helps level the playing field between providers and payers by turning opaque billing logic into actionable intelligence and embedding it into day-to-day financial operations.

MDaudit is a cloud-based platform that unifies billing compliance, coding audits, and revenue-integrity workflows for healthcare providers, hospitals, physician networks, ambulatory surgical centers, and the like. It supports all types of audits, scheduled, risk-based, retrospective, and denial-focused. MDaudit automates data ingestion from pre-bill charges, claims, and remittance data; triggers audit workflows; flags anomalies and high-risk patterns; and delivers real-time dashboards and drill-down analytics revealing root causes of billing errors, denials, and revenue leakage. Its modules, including a “Denials Predictor” for pre-submission claim validation and a “Revenue Optimizer” for continuous risk monitoring, help organizations prevent claim denials, reduce recoupments, and capture more legitimate revenue. MDaudit also provides payer-audit management: a secure, centralized workflow to respond to external audit requests and manage documentation exchange.