> For the complete documentation index, see [llms.txt](https://docs.layerlens.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.layerlens.ai/4.2-industry-use-cases/healthcare.md).

# Healthcare

Healthcare AI has the highest stakes on the platform. Every output is potentially clinically consequential. Evaluation in healthcare is not optional; it's the gating discipline.

## Top scenarios

<table data-view="cards"><thead><tr><th></th><th></th><th></th></tr></thead><tbody><tr><td><strong>Clinical decision-support Q&#x26;A</strong></td><td>AI helps clinicians retrieve guidelines and decision pathways.</td><td><a href="https://github.com/LayerLens/gitbook-full/blob/main/04-use-cases/industry/healthcare/scenarios.md#clinical-qa">Read</a></td></tr><tr><td><strong>Patient triage chatbot</strong></td><td>Triage symptoms; route to appropriate care.</td><td><a href="https://github.com/LayerLens/gitbook-full/blob/main/04-use-cases/industry/healthcare/scenarios.md#patient-triage">Read</a></td></tr><tr><td><strong>Medical document summarization</strong></td><td>Summarize charts, prior authorizations, discharge notes.</td><td><a href="https://github.com/LayerLens/gitbook-full/blob/main/04-use-cases/industry/healthcare/scenarios.md#medical-summarization">Read</a></td></tr></tbody></table>

## Why Stratix for healthcare

* **Deterministic rules + judges** combine to enforce hard safety constraints (no dosing recommendations to patients) plus subjective bars (clinical reasoning soundness)
* **Trace evaluations** preserve auditable evidence per release — important for regulatory readiness
* **GEPA judge optimization** lets you tune to clinician-labeled examples
* **BYOK custom models** support medical-specific fine-tuned models running in your environment

## Industry pattern

For an end-to-end usage scenario combining the criteria above into one evaluation:

→ [Healthcare: clinical decision support pattern](/4.2-industry-use-cases/pattern.md)

## Where to next

* [Scenarios](https://github.com/LayerLens/gitbook-full/blob/main/04-use-cases/industry/healthcare/scenarios.md)
* [Evaluation patterns](https://github.com/LayerLens/gitbook-full/blob/main/04-use-cases/industry/healthcare/eval-patterns.md)
* [Compliance](https://github.com/LayerLens/gitbook-full/blob/main/04-use-cases/industry/healthcare/compliance.md)
* [Cookbook and samples](https://github.com/LayerLens/gitbook-full/blob/main/04-use-cases/industry/healthcare/cookbook-and-samples.md)


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