# Clinithink

Building on the capabilities of its CLiX Clinical Natural Language Processing (CNLP) platform, Clinithink has created a solution to enable the analysis of healthcare data sourced directly from clinical narrative called CLiX ENRICH. This technology can be integrated into existing healthcare solutions to process any relevant narrative and encode the key clinical elements – medications, diagnoses, procedures, symptoms and findings – using SNOMED CT. These features can then be queried using powerful, user-definable SNOMED CT queries to present structured data in a form that can be easily consumed by existing BI platforms.

For example, when the narrative text below is typed into diagnosis and observation fields (respectively), Clinithink is able to provide a list of possible coding options for manual confirmation (as shown below).

<figure><img src="/files/qF9SBmoQDsiJijsP9Omh" alt=""><figcaption><p>Clinithink narrative text and possible coding options</p></figcaption></figure>

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<table><thead><tr><th width="91.859375">Footnotes Ref</th><th>Notes</th></tr></thead><tbody><tr><td>1</td><td><a href="http://www.clinithink.com/">http://www.clinithink.com/</a></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://docs.snomed.org/snomed-ct-practical-guides/snomed-ct-data-analytics-guide/appendix/12.2-vendor-case-studies/12.2.8-clinithink.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.