DCoder (DC) — Coding rules, reverse-engineered from your clean claims
Your paid claims already know what correct coding looks like. DCoder extracts those patterns into rules, validates every new claim against them, and recommends the fix when something's off.
The short version
Most coding knowledge lives in two places: your most experienced coders' heads, and static rulebooks that lag behind what payers actually accept. Manual audits sample a tiny fraction of volume, and by the time a coding problem shows up as a denial trend, it's been costing you for months.
DCoder flips the direction. Instead of starting from the rulebook, it reverse-engineers the claims that already went out clean and got paid — extracting the code, modifier, and diagnosis patterns that worked into a living rule set. Then it validates every new claim against those rules before submission.
When a claim doesn't match a learned pattern, DCoder doesn't just flag it. It recommends the specific correction, with the rationale and the clean-claim evidence behind it. And because every newly paid claim feeds back in, the rule set keeps sharpening on its own.
Features that actually move the needle
Reverse-engineered rule building
Learns from claims that were paid clean — extracting the code, modifier, and diagnosis combinations that actually work for each payer into a living rule set.
Accuracy validation on every claim
Every outbound claim gets checked against the learned rules — 100% of volume, not the 2% a manual audit can reach.
Recommended corrections
Not just a flag. DCoder suggests the specific fix, with the rationale and the clean-claim evidence behind it.
Rules that keep sharpening
Every newly paid claim feeds back into the rule set, so coding guidance tracks what payers accept today — not last year.
Coding teams and audit leads who want every claim validated against what actually gets paid — without growing the audit headcount.
The rest of the product suite
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