AI medical coding

# Every suggested code, linked to the record.

Turn clinical notes into suggested medical codes. Check the evidence, then edit and approve each one before use.

[Start for free](https://clinician.rhazes.ai/) · [Compare plans](https://www.rhazes.ai/pricing/)

Illustrative example with a fictional patient, Alex Morgan. Codes shown for demonstration only. Every code sits on the words that support it:

- “Right knee ache after running for two weeks.” ICD-10-CM M25.561, Pain in right knee.
- “Type 2 diabetes.” ICD-10-CM E11.9, Type 2 diabetes mellitus without complications.
- “Metformin 500 mg twice daily.” ICD-10-CM Z79.84, Long term (current) use of oral hypoglycemic drugs.
- “Amlodipine 5 mg once daily for hypertension.” ICD-10-CM I10, Essential (primary) hypertension.

## Open a suggestion. Check the evidence. Make the call.

The page includes a hands-on example. Open each suggested code to see the evidence from the record and compare alternative codes. For knee pain, the product notes the uncertainty: no structural diagnosis is supported by the record. Choices in the example are not saved.

Generated by Rhazes AI. Please review all codes before using in practice and verify against current coding guidelines.

## From clinical record to reviewed codes.

1. **Bring in the record.** Start with the patient’s notes and the coding system your team uses.
2. **Review suggested codes.** See the words in the record behind each suggestion.
3. **Confirm the result.** Check for missing detail, edit the codes and make the final decision.

## Your organisation’s rules, built in.

Upload your own code list, and Rhazes checks its suggestions against your organisation’s rules.

- Comorbidities coded alongside the main complaint
- Multiple specialties in one workspace
- Local code lists uploaded as a simple CSV: code in the first column, description in the second, no header row

## One record. The coding system you work in.

Supports ICD, SNOMED CT, CPT and other common coding systems. Tell us about any local rules.

Example: the same knee pain in four systems.

- ICD-10-CM: M25.561, Pain in right knee. The side comes straight from the record.
- ICD-11: ME82, Pain in joint. Knee and right side are added on as extra detail.
- SNOMED CT: 30989003, Knee pain (finding).
- Your coding standard: MSK-014, Knee pain in adults. An example code from a list your organisation uploads.

## Questions from clinicians.

### Which coding systems are supported?

Rhazes supports ICD, SNOMED CT, CPT and other common coding systems. Tell us about any local rules.

### Can I see why a code was suggested?

Yes. Each suggested code links to the words in the record that support it.

### Are codes submitted automatically?

Final decisions stay with your clinical or coding team. Review and approve each code before use.

## Where will you go next?

- [Clinical audits](https://www.rhazes.ai/auditing/): Look beyond a single record. Review batches of records against the criteria your team defines.
- [AI medical scribe](https://www.rhazes.ai/scribe/): Start with the clinical note. Turn consultations into structured draft documentation for review.
- [EHR integration](https://www.rhazes.ai/ehr-integrations/): Bring the record into view. Explore connections to patient records with Rhazes Enterprise.

Keep exploring: [Clinical decision support](https://www.rhazes.ai/cdss/) · [Local guidelines & Spaces](https://www.rhazes.ai/spaces/) · [Templates](https://www.rhazes.ai/templates/) · [Workflows](https://www.rhazes.ai/customisability/)

## More time for your patients.

Start with the free plan, or contact us about Rhazes for your hospital or clinic.

[Start for free](https://clinician.rhazes.ai/) · [Contact our team](mailto:contact@rhazes.ai)

[View this page](https://www.rhazes.ai/coding/) · [Privacy and security](https://www.rhazes.ai/compliance/) · [Pricing](https://www.rhazes.ai/pricing/)
