Name: Healthcare NLP Lab
Author: MySimulator

Coding policy

Auto-code confidence threshold: 75%

This case study models 3,000 clinical notes processed by an NLP model that suggests diagnosis and procedure codes for billing. Above the confidence threshold, suggested codes are auto-applied; below it, a certified medical coder reviews the note and assigns codes manually.

Batch outcome

Notes auto-coded—

Miscoded claims auto-accepted—

Coder review hours—

Notes by coding confidence (cyan = auto-coded, ring = true coding error)