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AI Coder

The AI Coder reads the clinical note and proposes diagnosis codes with a confidence score, so your clinicians and coders spend less time searching code books. A person always makes the final call.

  • ICD-10
  • Confidence score
  • You decide
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Manual coding is slow, and it shows

  • Hours spent reading charts

    Long notes are read line by line to find what should be coded.

  • Codes missed or mismatched

    On a busy day it is easy to miss a diagnosis or choose a near match.

  • A queue at the coder's desk

    Visits wait to be coded before they can be billed.

  • Worry at audit time

    Every choice needs a clear trail, and manual work leaves gaps.

From signed note to claim-ready

  1. The note is written

    A clinician writes it, or the AI Medical Scribe drafts it and the clinician approves it.

  2. The AI Coder reads it

    It proposes ICD-10 diagnosis codes, each with a confidence score and the words that support it.

  3. A person decides

    A coder or clinician reviews each suggestion, then accepts, changes or rejects it.

  4. On to billing

    Approved codes go to billing, where the Billing agent drafts the invoice from the visit.

AI Coder, and coding by hand

With the AI CoderBy hand
  • Reading the note

    With the AI CoderReads the whole note and shows what supports each code.

    By handA person reads every line.

  • Suggestions

    With the AI CoderCodes proposed with a confidence score.

    By handCodes chosen from memory or a code book.

  • Consistency

    With the AI CoderThe same rules applied to every note.

    By handVaries with who codes, and when.

  • Audit trail

    With the AI CoderEvery suggestion and decision is recorded.

    By handDepends on how carefully it is written down.

Coders keep the final call

Suggestions, never decisions.

The AI Coder saves the searching, not the judgement. Your coders and clinicians stay in charge of every code that goes on a claim.

  • Every code is a suggestion until a person approves it.
  • Low-confidence suggestions are easy to spot.
  • Rule-based safety checks validate every AI output.

Safe by design

AI drafts. Doctors decide.

  • 01

    Human in the loop

    Nothing reaches a patient record until a clinician approves it.

  • 02

    Deterministic safety gates

    Rule-based checks validate every AI output, and every model change runs a clinical evaluation suite.

  • 03

    Your data stays yours

    Each clinic's data is isolated at the database level, with a full audit trail.

Frequently Asked Questions

Find quick answers to common questions. If you need further details, contact us!

  • What is the AI Coder?

    It is the TotalCura agent that reads a clinical note and proposes diagnosis codes with a confidence score.

  • Does it code a claim on its own?

    No. Every code is a suggestion until a coder or clinician approves it.

  • Which codes does it suggest?

    It proposes ICD-10 diagnosis codes. Ask us in a demo about other code sets.

  • What does the confidence score mean?

    It shows how sure the AI Coder is about a suggestion, so your team can look hardest at the uncertain ones.

  • Does it work with the AI Medical Scribe?

    Yes. Notes drafted by the scribe and approved by a clinician can go straight to the AI Coder.

  • How is patient data protected?

    Each clinic's data is isolated at the database level, access is role-based, and every action leaves an audit trail.

Put your clinic on autopilot.

With you in control. Book a 30-minute demo and watch the agents handle a real visit, end to end.

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