Prepare encounters
De-identify notes; pin the coded history; hold out encounters for evaluation.
Industry blueprint
Medical billing
and coding
Revenue cycle. Propose procedure and diagnosis codes from clinical notes at scale; a coder reviews before anything is submitted.
Coding is text extraction at volume: every encounter needs procedure and diagnosis codes, and errors surface as denials. A fine-tuned or distilled model proposes codes over batches of encounters at a known cost, and a certified coder reviews before submission. This design gates the model on held-out accuracy and keeps the coder as the author of every claim.
Illustrative pipeline
Fine-tune or distill
Train the partner's coding model; accept only if held-out accuracy holds.
Run the batch
Propose codes for each encounter, priced before the first request.
Coder reviews
A certified coder accepts or corrects each proposal before submission. Corrections are recorded.
What the record keeps
The encounter batch, the model version, proposed and accepted codes, the estimate and spend, and the reviewing coder.
Partner brings
- De-identified notes and coded history
- Coding model
- Connector to the billing system and regulatory ownership
Cairn brings
- Held-out accuracy gate
- Batch inference with the cost gate
- Coder review gate
- A record of every submitted code
Business value to test
Coder time per encounter, denial rate and cost per thousand encounters.
Keep the decision explicit
No claim is submitted without a coder's recorded acceptance.
Close the feedback loop
Coder corrections and denials become training data for the next candidate.
Reference design, not a shipped domain pack. Healthcare deployments carry regulatory obligations (HIPAA and equivalents) that the partner must own; Cairn's approval and record trail supports them but does not satisfy them on its own.
See how failure can trigger a reviewed improvement cycle →Bring a month of encounters.
Talk about your coding workflow, denial rate and review process.