> ## Documentation Index
> Fetch the complete documentation index at: https://afri-health-ai.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# AfriHealth AI: Clinician-Reviewed Voice Care Documentation

> 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.

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AfriHealth AI Unified Care Suite helps multilingual care teams document clinical conversations by voice. It captures Amharic-English code-switched speech, transcribes it with the Intron Sahara v2.5 speech engine, and produces draft triage summaries, SOAP notes, and follow-up escalations that a qualified clinician always reviews before use.

<Warning>
  AfriHealth AI is a functional prototype. It is **not ready for identifiable patient data**. See [Safety and Readiness](/evidence/safety-and-readiness) before any operational use.
</Warning>

## Three modules, one workflow

<CardGroup cols={3}>
  <Card title="Frontline Triage" icon="stethoscope" href="/modules/frontline-triage">
    Voice-driven triage documentation for community health workers.
  </Card>

  <Card title="Voice EHR Intake" icon="file-medical" href="/modules/voice-ehr-intake">
    Turn doctor-patient consultations into SOAP drafts and FHIR JSON.
  </Card>

  <Card title="Post-Care Follow-up" icon="phone" href="/modules/post-care-follow-up">
    Voice check-ins after discharge with risk escalation for nurses.
  </Card>
</CardGroup>

## Get started

<Steps>
  <Step title="Open the prototype">
    Go to [sahara-healthcare-suite.pages.dev](https://sahara-healthcare-suite.pages.dev/) in a modern browser.
  </Step>

  <Step title="Run system diagnostics">
    Confirm your microphone, speech engine, and voice output work. See the [Quickstart](/quickstart).
  </Step>

  <Step title="Try a Gold Standard case">
    Load one of the five pre-recorded cases to see each module in action without a microphone.
  </Step>
</Steps>

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/quickstart">
    Set up your browser and run your first triage case.
  </Card>

  <Card title="Benchmarks" icon="chart-line" href="/evidence/benchmarks">
    Review measured transcription accuracy and limitations.
  </Card>

  <Card title="About ETH-1713-AI" icon="building" href="/company/about">
    Meet the team building AfriHealth AI.
  </Card>

  <Card title="Contact Us" icon="envelope" href="/company/contact">
    Pilots, partnerships, and support.
  </Card>
</CardGroup>


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