Solutions / AI Medical Coding

AI Medical Coding

The coding engine: documentation in, payer-validated codes out, humans on the edge cases.

GetMax reads the encounter the way a coder does — the documentation, not just the headline diagnosis — then proposes ICD-10 and CPT codes and validates them against payer rules and NCCI edits before a claim is ever built. Certified coders review what the model flags as uncertain. Below, try the raw material: search any condition and watch codes resolve.

Start typing — ICD-10-CM codes resolve as you go.

    Lookup powered by the NLM ICD-10-CM database — a taste of the raw material. The GetMax platform codes full encounters from documentation and validates against payer rules. Please don't enter patient information.

    How the AI works

    1. 01

      Read

      The AI parses clinical documentation — diagnoses, procedures, laterality, specificity.

    2. 02

      Code & validate

      ICD-10/CPT proposed, then checked against payer policy and NCCI edits in real time.

    3. 03

      Escalate the edges

      Low-confidence encounters route to certified coders — nothing ships on model confidence alone.

    Humans in the loop. By architecture.

    Every AI decision is reviewable, and ambiguous encounters always reach a credentialed human coder. That's not a disclaimer — it's the architecture. Healthcare doesn't get automation without accountability.

    Questions, answered

    Is the demo above your production AI?+

    No — it's an honest taste. The search runs on the NLM's public ICD-10-CM database. The GetMax platform codes full encounters from documentation and validates against payer rules, with certified coders in the loop.

    What happens when the AI isn't sure?+

    The encounter routes to a certified coder with the model's reasoning attached. Uncertainty is escalated, never guessed through.

    Does this replace our coders?+

    It replaces the repetitive volume, not the judgment. Coders shift from keying every encounter to reviewing the hard ones.