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Text Analytics for health can be used to extract and label relevant medical information from unstructured texts such as doctors' notes, discharge summaries, clinical documents, and electronic health records. The service performs [named entity recognition](../concepts/health-entity-categories.md), [relation extraction](../concepts/relation-extraction.md), [entity linking](https://www.nlm.nih.gov/research/umls/sourcereleasedocs/index.html), and [assertion detection](../concepts/assertion-detection.md) to uncover insights from the input text. For information on the returned confidence scores, see the [transparency note](/azure/ai-foundry/responsible-ai/language-service/transparency-note).
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Text Analytics for health can be used to extract relevant medical information from unstructured texts. These texts may include doctors' notes, discharge summaries, clinical documents, and electronic health records. The tool can also label the extracted information for easier analysis and reference. The service performs [named entity recognition](../concepts/health-entity-categories.md), [relation extraction](../concepts/relation-extraction.md), [entity linking](https://www.nlm.nih.gov/research/umls/sourcereleasedocs/index.html), and [assertion detection](../concepts/assertion-detection.md) to uncover insights from the input text. For information on the returned confidence scores, see the [transparency note](/azure/ai-foundry/responsible-ai/language-service/transparency-note).
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> [!TIP]
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> If you want to test out the feature without writing any code, use [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs).
* Using the web-based API and client libraries (asynchronous)
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*Using a [Docker container](use-containers.md) (synchronous).
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* Using the web-based API and client libraries (asynchronous).
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## Development options
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@@ -39,16 +39,16 @@ The Text Analytics for health supports English in addition to multiple languages
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To send an API request, you need your Language resource endpoint and key.
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> [!NOTE]
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> You can find the key and endpoint for your Language resource on the Azure portal. They are located on the resource's **Key and endpoint** page, under **resource management**.
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> You can find the key and endpoint for your Language resource on the Azure portal. They're located on the resource's **Key and endpoint** page, under **resource management**.
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Analysis is performed upon receipt of the request. If you send a request using the REST API or client library, the results are returned asynchronously. If you're using the Docker container, they are returned synchronously.
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Analysis is performed upon receipt of the request. If you send a request using the REST API or client library, the results are returned asynchronously. If you're using the Docker container, they're returned synchronously.
## Submitting a Fast Healthcare Interoperability Resources (FHIR) request
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Fast Healthcare Interoperability Resources (FHIR) is the health industry communication standard developed by the Health Level Seven International (HL7) organization. The standard defines the data formats (resources) and API structure for exchanging electronic healthcare data. To receive your result using the **FHIR** structure, you must send the FHIR version in the API request body.
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Fast Healthcare Interoperability Resources (FHIR) is the health industry communication standard developed by the Health Level Seven International (HL7) organization. The standard defines the data formats (resources) and API structure for exchanging electronic healthcare data. To receive your result using the **FHIR** structure, you must send the FHIR version in the API request body.
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