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Update call-api.md
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articles/cognitive-services/language-service/text-analytics-for-health/how-to/call-api.md

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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](/legal/cognitive-services/text-analytics/transparency-note#general-guidelines-to-understand-and-improve-performance?context=/azure/cognitive-services/text-analytics/context/context).
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> [!TIP]
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> If you want to test out the feature without writing any code, use the [Language Studio](../../language-studio.md).
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There are two ways to call the service:
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* A [Docker container](use-containers.md) (synchronous)
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## Specify the Text Analytics for health model
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By default, Text Analytics for health will use the latest available AI model on your text. You can also configure your API requests to use a specific model version. The model you specify will be used to perform operations provided by the Text Analytics for health.
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By default, Text Analytics for health will use the latest available AI model on your text. You can also configure your API requests to use a specific model version. The model you specify will be used to perform operations provided by the Text Analytics for health. Extraction of social determinants of health entities is supported with the new preview model version "2023-01-01-preview".
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| Supported Versions | latest version |
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|--|--|
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| `2023-01-01-preview` | `2023-01-01-preview` |
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| `2022-08-15-preview` | `2022-08-15-preview` |
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| `2022-03-01` | `2022-03-01` |
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| `2021-05-15` | `2021-05-15` |
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### Text Analytics for health container
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## Submitting a Fast Healthcare Interoperability Resources (FHIR) request
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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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| Parameter Name | Type | Value |
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|--|--|--|

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