Merge pull request #234288 from psanapathi/main

JamesJBarnett · web-flow · commit 7d6b0e3d39a4 · 2023-04-12T15:49:04.000-07:00
Minor updates to Project Health Insights (Preview)
diff --git a/articles/azure-health-insights/deploy-portal.md b/articles/azure-health-insights/deploy-portal.md
@@ -18,16 +18,13 @@ In this quickstart, you learn how to deploy Project Health Insights using the Az
 
 Once deployment is complete, you can use the Azure portal to navigate to the newly created Project Health Insights, and retrieve the needed details  such your service URL, keys and manage your access controls.
 
-## Prerequisite 
-To deploy Project Health Insights, you must register your subscription. Let us know the Azure subscription ID you plan to use for Project Health Insights so that we can register necessary feature flags on our end.
-
 ## Deploy Project Health Insights
 
 1. Sign in to the [Azure portal](https://portal.azure.com/).
 2. Create a new **Resource group**.
-3. Add a new Cognitive Services account to your Resource group and search for **Project Health Insights**.
+3. Add a new Cognitive Services account to your Resource group and search for **Health Insights**.
 
-    ![Screenshot of how to create the new Project Health Insights service.](media/oncophenotype/deploy-to-azure/create-service.png) 
+    ![Screenshot of how to create the new Project Health Insights service.](media/create-service.png) 
 
     or Use this [link](https://portal.azure.com/#create/Microsoft.CognitiveServicesHealthInsights) to create a new Cognitive Services account.
 
@@ -37,19 +34,19 @@ To deploy Project Health Insights, you must register your subscription. Let us k
     - **Name**: Enter a Cognitive Services account name.
     - **Pricing tier**: Select your pricing tier.
 
-    ![Screenshot of how to create new Cognitive Services account.](media/oncophenotype/deploy-to-azure/create-health-insights.png) 
+    ![Screenshot of how to create new Cognitive Services account.](media/create-health-insights.png) 
 
 5. Navigate to your newly created service.
     
-    ![Screenshot of the Overview of Cognitive Services account.](media/oncophenotype/deploy-to-azure/created-health-insights.png) 
+    ![Screenshot of the Overview of Cognitive Services account.](media/created-health-insights.png) 
 
 ## Configure private endpoints
 
 With private endpoints, the network traffic between the clients on the VNet and the Cognitive Services account run over the VNet and a private link on the Microsoft backbone network. This eliminates exposure from the public internet.
 
 Once the Cognitive Services account is successfully created, configure private endpoints from the Networking page under Resource Management. 
 
-![Screenshot of Private Endpoint.](media/oncophenotype/deploy-to-azure/private-endpoints.png) 
+![Screenshot of Private Endpoint.](media/private-endpoints.png) 
 
 ## Next steps
 
diff --git a/articles/azure-health-insights/index.yml b/articles/azure-health-insights/index.yml
@@ -35,8 +35,6 @@ landingContent:
         links:
           - text: Model configuration
             url: oncophenotype/model-configuration.md
-          - text: Patient information
-            url: oncophenotype/patient-info.md
           - text: Inference information
             url: oncophenotype/inferences.md    
       - linkListType: quickstart
diff --git a/articles/azure-health-insights/media/architecture.png b/articles/azure-health-insights/media/architecture.png
diff --git a/articles/azure-health-insights/media/create-health-insights.png b/articles/azure-health-insights/media/create-health-insights.png
diff --git a/articles/azure-health-insights/media/create-service.png b/articles/azure-health-insights/media/create-service.png
diff --git a/articles/azure-health-insights/media/created-health-insights.png b/articles/azure-health-insights/media/created-health-insights.png
diff --git a/articles/azure-health-insights/media/oncophenotype/deploy-to-azure/create-health-insights.png b/articles/azure-health-insights/media/oncophenotype/deploy-to-azure/create-health-insights.png
diff --git a/articles/azure-health-insights/media/private-endpoints.png b/articles/azure-health-insights/media/private-endpoints.png
diff --git a/articles/azure-health-insights/oncophenotype/TOC.yml b/articles/azure-health-insights/oncophenotype/TOC.yml
@@ -20,8 +20,6 @@ items:
   items:
      - name: Model configuration
        href: model-configuration.md
-     - name: Patient information
-       href: patient-info.md
      - name: Inference information
        href: inferences.md
 - name: Reference
diff --git a/articles/azure-health-insights/oncophenotype/get-started.md b/articles/azure-health-insights/oncophenotype/get-started.md
@@ -174,7 +174,7 @@ For each clinical document within a patient:
 To get better insights into the request and responses, you can read more on following pages:
 
 >[!div class="nextstepaction"]
-> [Model Configuration](model-configuration.md) 
+> [Model configuration](model-configuration.md) 
 
 >[!div class="nextstepaction"]
-> [Inferences](inferences.md) 
+> [Inference information](inferences.md) 
diff --git a/articles/azure-health-insights/oncophenotype/index.yml b/articles/azure-health-insights/oncophenotype/index.yml
@@ -28,8 +28,6 @@ landingContent:
         links:
           - text: Model configuration
             url: model-configuration.md
-          - text: Patient information
-            url: patient-info.md
           - text: Inference information
             url: inferences.md
   - title: Use the Onco Phenotype model
@@ -42,5 +40,5 @@ landingContent:
     linkLists:
       - linkListType: reference
         links:
-          - text: support and help options
+          - text: Support and help options
             url: support-and-help.md
diff --git a/articles/azure-health-insights/oncophenotype/inferences.md b/articles/azure-health-insights/oncophenotype/inferences.md
@@ -1,5 +1,5 @@
 ---
-title: Onco Phenotype Inference information
+title: Onco Phenotype inference information
 titleSuffix: Project Health Insights
 description: This article provides Onco Phenotype inference information.
 services: azure-health-insights
@@ -12,7 +12,7 @@ ms.author: behoorne
 ---
 
 
-# Onco Phenotype Inference information
+# Onco Phenotype inference information
 
 Project Health Insights Onco Phenotype model was trained with labels that conform to the following standards.
 - Tumor site and histology inferences: **WHO ICD-O-3** representation.
@@ -45,4 +45,4 @@ When you set the ```includeEvidence``` property to ```true```, each evidence pro
 To get better insights into the request and responses, read more on following page:
 
 >[!div class="nextstepaction"]
-> [Model Configuration](model-configuration.md) 
+> [Model configuration](model-configuration.md) 
diff --git a/articles/azure-health-insights/oncophenotype/overview.md b/articles/azure-health-insights/oncophenotype/overview.md
@@ -1,5 +1,5 @@
 ---
-title: What is Onco Phenotype - Project Health Insights
+title: What is Onco Phenotype (Preview)
 titleSuffix: Project Health Insights
 description: Enable healthcare organizations to rapidly identify key cancer attributes within their patient populations.
 services: azure-health-insights
@@ -12,9 +12,9 @@ ms.author: behoorne
 ---
 
 
-# What is Onco Phenotype - Project Health Insights
+# What is Onco Phenotype (Preview)?
 
-Onco Phenotype is an AI model that’s offered within the context of the broader Project Health Insights. It augments traditional clinical Natural Language Processing tools by enabling healthcare organizations to rapidly identify key cancer attributes within their patient populations.
+Onco Phenotype is an AI model that’s offered within the context of the broader Project Health Insights. It augments traditional clinical natural language processing tools by enabling healthcare organizations to rapidly identify key cancer attributes within their patient populations.
 
 
 > [!IMPORTANT] 
@@ -52,4 +52,4 @@ For the Public Preview, you can select the Free F0 SKU. The official pricing wil
 Get started using the Onco Phenotype model:
 
 >[!div class="nextstepaction"]
-> [deploy the service via the portal](../deploy-portal.md) 
+> [Deploy the service via the portal](../deploy-portal.md) 
diff --git a/articles/azure-health-insights/oncophenotype/patient-info.md b/articles/azure-health-insights/oncophenotype/patient-info.md
@@ -14,13 +14,13 @@ ms.author: behoorne
 
 # Onco Phenotype patient info
 
-The Onco Phenotype currently can receive patient information in the form of ```Unstructured clinical notes```.
+The Onco Phenotype currently can receive patient information in the form of unstructured clinical notes.
 The payload should contain a ```patients``` section with one or more objects where the ```data``` property contains one or more JSON object of ```kind``` "note". 
                       
 
 ## Example request
 
-The following example represents a case finding. The ```checkForCancerCase``` has been set to ```true``` and ```includeEvidence``` has been set to ```false```. Meaning the model checks for a cancer case but not include the evidence. In this example, the Onco Phenotype model receives patient information in the form of unstructured clinical notes
+In this example, the Onco Phenotype model receives patient information in the form of unstructured clinical notes.
 
 ```json
 {
diff --git a/articles/azure-health-insights/oncophenotype/transparency-note.md b/articles/azure-health-insights/oncophenotype/transparency-note.md
@@ -71,7 +71,7 @@ Specific characteristics and limitations of the Onco Phenotype model include:
 
 ## System performance
 
-In many AI systems, performance is often defined in relation to accuracy or by  – that is, how often the AI system offers a correct prediction or output. Depending on the workflow or scenario, you can leverage the  confidence scores that are returned along with each inference and choose to set thresholds based on the tolerance for incorrect inferences. The performance of the system can be assessed by computing statistics based on true positive, true negative, false positive, and false negative instances. For example, in the tumor site predictions, one can consider a tumor site (like lung) being the positive class and other sites, including not having one, being the negative class. Using the lung tumor site as an example positive class, the following table illustrates different outcomes.
+In many AI systems, performance is often defined in relation to accuracy or by how often the AI system offers a correct prediction or output. Depending on the workflow or scenario, you can leverage the confidence scores that are returned with each inference and choose to set thresholds based on the tolerance for incorrect inferences. The performance of the system can be assessed by computing statistics based on true positive, true negative, false positive, and false negative instances. For example, in the tumor site predictions, one can consider a tumor site (like lung) being the positive class and other sites, including not having one, being the negative class. Using the lung tumor site as an example positive class, the following table illustrates different outcomes.
 
 | **Outcome**    | **Correct/Incorrect** | **Definition** | **Example** |
 | -------------- | --------------------- | -------------- | ----------- |
diff --git a/articles/azure-health-insights/overview.md b/articles/azure-health-insights/overview.md
@@ -1,5 +1,5 @@
 ---
-title: What is Project Health Insights
+title: What is Project Health Insights (Preview)
 titleSuffix: Project Health Insights
 description: Improved quality of health care and Improved efficiency and cost-benefit, by reducing the time spent by healthcare professional
 services: azure-health-insights
@@ -11,7 +11,7 @@ ms.date: 02/02/2023
 ms.author: behoorne
 ---
 
-# What is Project Health Insights?
+# What is Project Health Insights (Preview)?
 
 Project Health Insights is a Cognitive Service providing an API that serves insight models, which perform analysis and provide inferences to be used by a human. The models can receive input in different modalities, and return insight inferences including evidence as a result, for key high value scenarios in the health domain
 
@@ -23,7 +23,7 @@ Project Health Insights is a Cognitive Service providing an API that serves insi
 Health and Life Sciences organizations have multiple high-value business problems that require clinical insights inferences that are based on clinical data. 
 Project Health Insights is a Cognitive Service that provides prebuilt models that assist with solving those business problems.
 
-## Available decision support models
+## Available models
 
 There are currently two models available in Project Health Insights: 
 
diff --git a/articles/azure-health-insights/trial-matcher/TOC.yml b/articles/azure-health-insights/trial-matcher/TOC.yml
@@ -24,6 +24,21 @@ items:
       href: integration-and-responsible-use.md
     - name: Data, privacy, and security
       href: ../responsible-ai/data-privacy-security.md
+- name: Concepts
+  expanded: true
+  items:
+     - name: Model configuration
+       href: model-configuration.md
+     - name: Patient information
+       href: patient-info.md
+     - name: Inference information
+       href: inferences.md
+- name: Reference
+  items:
+     - name: REST API
+       href: /rest/api/cognitiveservices/healthinsights/trial-matcher
+     - name: .NET SDK
+       href: /dotnet/api/overview/azure/health.insights.clinicalmatching-readme
 - name: Resources
   items:
      - name: Enterprise readiness
@@ -34,12 +49,3 @@ items:
           href: https://azure.microsoft.com/support/legal/cognitive-services-compliance-and-privacy/
      - name: Support and help options
        href: support-and-help.md
-- name: Concepts
-  expanded: true
-  items:
-     - name: Model configuration
-       href: model-configuration.md
-     - name: Patient information
-       href: patient-info.md
-     - name: Inference information
-       href: inferences.md
diff --git a/articles/azure-health-insights/trial-matcher/index.yml b/articles/azure-health-insights/trial-matcher/index.yml
@@ -44,5 +44,5 @@ landingContent:
     linkLists:
       - linkListType: reference
         links:
-          - text: support and help options
+          - text: Support and help options
             url: support-and-help.md
diff --git a/articles/azure-health-insights/trial-matcher/overview.md b/articles/azure-health-insights/trial-matcher/overview.md
@@ -1,5 +1,5 @@
 ---
-title: What is Trial Matcher - Project Health Insights
+title: What is Trial Matcher (Preview)
 titleSuffix: Project Health Insights
 description:  Trial Matcher is designed to match patients to potentially suitable clinical trials and find group of potentially eligible patients to a list of clinical trials.
 services: azure-health-insights
@@ -11,7 +11,7 @@ ms.date: 01/27/2023
 ms.author: behoorne
 ---
 
-# What is Trial Matcher - Project Health Insights
+# What is Trial Matcher (Preview)?
 
 The Trial Matcher is an AI model, offered within the context of the broader Project Health Insights. Trial Matcher is designed to match patients to potentially suitable clinical trials or find a group of potentially eligible patients to a list of clinical trials.
 
