Each module works standalone or as part of the full pipeline, depending on where your revenue cycle team needs the most help first.
Before you can fix denials, you need to see them clearly. Denial Analytics breaks down every rejected claim by payer, plan, denial code, department, and provider — and ranks each by recoverability likelihood, so your team works the highest-value cases first instead of the easiest ones.
This is where the retrieval-augmented model does its heaviest lifting. For each denial, the engine retrieves the exact payer policy clause and plan language relevant to the rejection, cross-references it against the claim's clinical documentation, and produces a fully cited first-draft appeal letter — ready for a specialist to review, not a blank page to start from.
Every appeal 8Medicore drafts is grounded in this layer — a continuously refreshed index of payer medical policies, plan documents, LCDs/NCDs, and relevant state and federal regulatory guidance. Because this index updates independently of the reasoning model, policy changes don't require retraining anything; they just update the source material the system retrieves from.
Analytics tells you where the problem is. The Appeal Drafting Engine tells you what to do about a specific case. The Policy Knowledge Base is the foundation both other modules are grounded in. Most pilot hospitals start with Analytics to establish visibility, then layer in drafting once they've identified their highest-volume denial categories.
We're onboarding a small group of pilot hospitals before general availability.
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