Stop reading long notes just to find CCAM codes
This free extractor shows one Notat superpower: turning clinical text into reviewable CCAM suggestions. Notat automates medical notes and coding in one beautiful app for doctors.
Use the free tool, then let Notat handle notes and coding together.
Examples
Clinical note
Edit the example or paste your own note.
Coding system
Extracted codes
Evidence stays attached for review.
1
HMFC004CCAM
Cholécystectomie, par coelioscopie
Evidence: “Cholécystectomie par cœlioscopie pour lithiase vésiculaire symptomatique.”
Start with the note
Paste the clinical text as written. Notat reads across assessment, plan, procedure detail, and discharge context.
Review supported codes
Suggestions stay tied to documented diagnoses, symptoms, procedures, and clinical context - not loose keyword matches.
You make the final call
AI suggests. Clinicians and coders verify against the note, official guidance, and local coding policy before use.
From note to reviewed code
1
Paste the messy note
Use the documentation you already have: progress notes, discharge summaries, consults, H&Ps, or procedure notes.
2
Review CCAM candidates
Notat identifies documented procedures, services, diagnoses, and clinical context, then returns candidates with evidence attached.
3
Verify before use
Check the supporting text and official guidance before copying codes into billing, reporting, or coding queues.
What you can verify before copying a code
Suggestions are not final billing determinations. They surface candidate codes and the chart text that supports them, so clinicians and coders can make the final call.
Code suggestions
CCAM candidates mapped to documented clinical facts.
Supporting evidence
The exact phrase or sentence from the note that supports each code.
Review notes
Signals when documentation may be ambiguous, incomplete, or needs human judgment.
Related alternatives
Alternative CCAM candidates when multiple codes could apply.
How CCAM extraction works
What CCAM codes capture
CCAM is the French classification for medical procedures and technical acts.
Why automatic extraction helps
Coding often requires scanning long notes for documented conditions, procedures, and supporting context. An extractor helps surface likely candidates faster while keeping the final decision with the clinician, coder, or biller.
Where CCAM fits
CCAM supports claims, reporting, quality programs, and patient record organization. This demo focuses on the first step: finding code candidates from clinical documentation.
How it compares with related coding systems
CCAM is commonly reviewed with CIM-10-FR diagnosis coding.
CIM-10-FR
Diagnosis coding system used in France.
Notat keeps CIM-10-FR separate from CCAM so reviewers can work from the right code set.
What is CIM-10-FR
OPS
Procedure coding system used in Germany.
Notat keeps OPS separate from CCAM so reviewers can work from the right code set.
What is OPS
OPCS-4
Procedure coding system used in the United Kingdom.
Notat keeps OPCS-4 separate from CCAM so reviewers can work from the right code set.
What is OPCS-4
AI suggests. You decide.
This demo generates CCAM code suggestions from clinical text for review. It does not submit claims, replace certified coding review, override payer-specific rules, or replace official coding guidelines.
Medical coding questions
Is patient data safe in this workflow?
The free extractor is designed for review workflows, but you should follow your organization’s privacy policy before pasting patient-identifiable data into any web tool.
What if a CCAM suggestion is wrong?
Treat every result as a candidate. Review the supporting chart text, check official guidance and local rules, and ignore or correct any suggestion that does not match the documented encounter.
Is this a replacement for certified coding review?
No. Code suggestions are not final coding decisions. Always verify against current official guidelines, payer rules, and the documented encounter.
What is CCAM?
CCAM is the French classification for medical procedures and technical acts. The extractor above shows how documented clinical text can be mapped to reviewable CCAM suggestions.
Let Notat handle notes and coding
This free CCAM extractor is a preview of the Notat workflow: AI medical notes and reviewable coding support together.
Try Notat.aiUse the free tool, then let Notat handle notes and coding together.