Merge pull request #187982 from aahill/ta4h-overview

Text analytics for health overview

Author: LJSpiller

articles/cognitive-services/language-service/text-analytics-for-health/overview.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: overview
-ms.date: 11/19/2021
+ms.date: 02/16/2022
 ms.author: aahi
 ms.custom: language-service-health, ignite-fall-2021
 ---
@@ -19,34 +19,50 @@ ms.custom: language-service-health, ignite-fall-2021
 
 Text Analytics for health is one of the features offered by [Azure Cognitive Service for Language](../overview.md), a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. 
 
-Text Analytics for health extracts and labels relevant medical information from unstructured texts such as doctor's notes, discharge summaries, clinical documents, and electronic health records.
-
 This documentation contains the following types of articles:
 
 * [**Quickstarts**](quickstart.md) are getting-started instructions to guide you through making requests to the service.
 * [**How-to guides**](how-to/call-api.md) contain instructions for using the service in more specific or customized ways.
 * The [**conceptual articles**](concepts/health-entity-categories.md) provide in-depth explanations of the service's functionality and features.
 
-> [!VIDEO https://docs.microsoft.com/Shows/AI-Show/Introducing-Text-Analytics-for-Health/player]
+## Text Analytics for health features
 
-## Features
+Text Analytics for health extracts and labels relevant medical information from unstructured texts such as doctor's notes, discharge summaries, clinical documents, and electronic health records.
 
 [!INCLUDE [Text Analytics for health](includes/features.md)]
 
-[!INCLUDE [Typical workflow for pre-configured language features](../includes/overview-typical-workflow.md)]
+> [!VIDEO https://docs.microsoft.com/Shows/AI-Show/Introducing-Text-Analytics-for-Health/player]
+
+## Get started with Text analytics for health
+
+To use this feature, you submit raw unstructured text for analysis and handle the API output in your application. Analysis is performed as-is, with no additional customization to the model used on your data. There are three ways to use Text Analytics for health:
 
-## Deploy on premises using Docker containers
 
-Use the available Docker container to [deploy this feature on-premises](how-to/use-containers.md). These docker containers enable you to bring the service closer to your data for compliance, security, or other operational reasons.
+|Development option  |Description  | Links | 
+|---------|---------|---------|
+| Language Studio    | A web-based platform that enables you to try Text Analytics for health without needing writing code. | • [Language Studio website](https://language.cognitive.azure.com/tryout/healthAnalysis) <br> • [Quickstart: Use the Language studio](../language-studio.md) |
+| REST API or Client library (Azure SDK)     | Integrate Text Analytics for health into your applications using the REST API, or the client library available in a variety of languages. | • [Quickstart: Use Text Analytics for health](quickstart.md)  |
+| Docker container | Use the available Docker container to deploy this feature on-premises, letting you bring the service closer to your data for compliance, security, or other operational reasons. | • [How to deploy on-premises](how-to/use-containers.md) |
+
+## Input requirements and service limits
+
+* Text Analytics for health takes raw unstructured text for analysis. See the [data and service limits](how-to/call-api.md#data-limits) in the how-to guide for more information.
+* Text Analytics for health works with a variety of written languages. See [language support](language-support.md) for more information.
+
+## Reference documentation and code samples
+
+As you use Text Analytics for health in your applications, see the following reference documentation and samples for Azure Cognitive Services for Language:
+
+|Development option / language  |Reference documentation |Samples  |
+|---------|---------|---------|
+|REST API     | [REST API documentation](https://westus2.dev.cognitive.microsoft.com/docs/services/TextAnalytics-v3-2-Preview-2/operations/Analyze)        |         |
+|C#     | [C# documentation](/dotnet/api/azure.ai.textanalytics?view=azure-dotnet-preview&preserve-view=true)        | [C# samples](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics/samples)        |
+| Java     | [Java documentation](/java/api/overview/azure/ai-textanalytics-readme?view=azure-java-preview&preserve-view=true)        | [Java Samples](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/textanalytics/azure-ai-textanalytics/src/samples) |
+|JavaScript     | [JavaScript documentation](/javascript/api/overview/azure/ai-text-analytics-readme?view=azure-node-preview&preserve-view=true)        | [JavaScript samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/textanalytics/ai-text-analytics/samples/v5) |
+|Python | [Python documentation](/python/api/overview/azure/ai-textanalytics-readme?view=azure-python-preview&preserve-view=true)        | [Python samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) |
 
 ## Responsible AI 
 
 An AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed. Read the [transparency note for Text Analytics for health](/legal/cognitive-services/language-service/transparency-note-health?context=/azure/cognitive-services/language-service/context/context) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
 
 [!INCLUDE [Responsible AI links](../includes/overview-responsible-ai-links.md)]
-
-## Next steps
-
-There are two ways to get started using the entity linking feature:
-* [Language Studio](../language-studio.md), which is a web-based platform that enables you to try several Azure Cognitive Service for Language features without needing to write code.
-* The [quickstart article](quickstart.md) for instructions on making requests to the service using the REST API and client library SDK.