# Extract information from Medical Documents

This demo will showcase how easy it is to set up an AI-powered system that can extract specific information (entities) from documents, providing structured data **that can seamlessly integrate into various business processes.**

**Entity Extraction solution allows you to:**

* Input any document and specify the entities you want to extract
* Securely process the document using Amazon Bedrock AI models
* Receive neatly formatted JSON output, ready for integration into your existing systems

{% @supademo/embed demoId="clzaq0q6v00t8nz1gbolv72y0" url="<https://app.supademo.com/demo/clzaq0q6v00t8nz1gbolv72y0>" %}

**This tool sets the foundation for more complex use cases, such as:**

<table data-card-size="large" data-view="cards"><thead><tr><th>Use Case</th><th>Industry</th></tr></thead><tbody><tr><td>Automated resume parsing for HR departments</td><td>Human Resources</td></tr><tr><td>Contract analysis for legal teams</td><td>Law</td></tr><tr><td>Financial document processing for accounting and compliance</td><td>Financial Services</td></tr><tr><td>Medical record information extraction for healthcare providers</td><td>Healthcare</td></tr></tbody></table>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://tailwindsdocs.innovativesol.com/demos/extract-information-from-medical-documents.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.