AI medical coding

# Every suggested code, linked to the record.

Rhazes retrieves code identifiers from real code lists and never invents them. See the record evidence behind each suggestion.

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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-11 ME82, Pain in joint.
- “Type 2 diabetes.” ICD-11 5A11, Type 2 diabetes mellitus.
- “Amlodipine 5 mg once daily for hypertension.” ICD-11 BA00, Essential hypertension.
- “BP 138/84.” ICD-11 MC80.0, Elevated blood-pressure reading, without diagnosis of 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 patient notes, context and your chosen coding standard.
2. **Review suggested codes.** See real code identifiers and their supporting record evidence.
3. **Confirm the result.** Compare alternatives, add clinical detail and confirm your chosen codes.

## Your organisation’s rules, built in.

Upload your own code list. Rhazes retrieves matching identifiers from it, linked to the clinical evidence.

- 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.

Use ICD-11, SNOMED CT, CPT or your own code list, with supporting evidence in the same workspace.

Example: the same knee pain in three systems.

- 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-11, SNOMED CT, CPT and your own code list, with supporting evidence in the same workspace.

### 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. Audit batches of records against your standards, with linked evidence.
- [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)

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