# AfriHealth AI

> AfriHealth AI by ETH-1713-AI: clinician-reviewed voice documentation for Amharic-English care teams.

- [AfriHealth AI: Clinician-Reviewed Voice Care Documentation](https://afri-health-ai.mintlify.app/index.md): AfriHealth AI is a 3-in-1 voice care suite that turns Amharic-English clinical speech into triage notes, SOAP drafts, and follow-up alerts for review.
- [Set Up AfriHealth AI and Run Your First Triage Case](https://afri-health-ai.mintlify.app/quickstart.md): Learn how to set up AfriHealth AI in your browser, pass the system diagnostics checks, and run your first Amharic-English triage case in minutes.
- [Document Community Triage by Voice with Frontline Triage](https://afri-health-ai.mintlify.app/modules/frontline-triage.md): Use the Frontline Triage module to record Amharic-English triage conversations, extract medical entities, and get a draft referral recommendation.
- [Turn Consultations into SOAP Drafts with Voice EHR Intake](https://afri-health-ai.mintlify.app/modules/voice-ehr-intake.md): Record doctor-patient consultations with Voice EHR Intake to auto-fill a medical chart, draft a SOAP note, and export FHIR JSON after clinician sign-off.
- [Run Voice Check-Ins After Discharge with Post-Care Follow-up](https://afri-health-ai.mintlify.app/modules/post-care-follow-up.md): Use Post-Care Follow-up to simulate or run voice check-in calls after discharge, score recovery risk, and flag patients who need nurse escalation.
- [ASR Benchmarks and Clinical Validation Results](https://afri-health-ai.mintlify.app/evidence/benchmarks.md): Review measured Amharic-English transcription accuracy for Intron Sahara v2.5, baseline model comparisons, and how to run your own WER and CER checks.
- [Clinical Safety Boundaries and Production Readiness](https://afri-health-ai.mintlify.app/evidence/safety-and-readiness.md): Understand AfriHealth AI's human-in-the-loop safeguards, what the prototype does not do, and the readiness gates required before using real patient data.
- [Supported Languages and Code-Switching Roadmap](https://afri-health-ai.mintlify.app/resources/languages.md): See which Ethiopian language pairs AfriHealth AI supports today, how code-switched speech is handled, and when Afaan Oromoo and Tigrinya are planned.
- [AfriHealth AI FAQ and Troubleshooting Common Issues](https://afri-health-ai.mintlify.app/resources/faq.md): Answers to common AfriHealth AI questions about microphone access, speech engine errors, patient data, clinician review, and supported languages.
- [About ETH-1713-AI, the Team Behind AfriHealth AI](https://afri-health-ai.mintlify.app/company/about.md): Meet ETH-1713-AI, the Ethiopian company building AfriHealth AI, a clinician-reviewed voice documentation suite, and the team leading its clinical and AI work.
- [Contact the AfriHealth AI Team for Pilots and Support](https://afri-health-ai.mintlify.app/company/contact.md): Reach ETH-1713-AI by email or phone for AfriHealth AI pilots, partnerships, research collaboration, product questions, and prototype support requests.

## Optional

- [Live Prototype](https://sahara-healthcare-suite.pages.dev/)
- [Contact Us](mailto:ermiasamare1713@gmail.com)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.