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Merge pull request #262117 from adishachar/adishachar/add-radiology-insights-model
Adishachar/add radiology insights model
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.openpublishing.redirection.json

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"source_path_from_root": "/articles/orbital/overview-analytics.md",
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"redirect_url": "/azure/orbital/overview",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/azure-health-insights/request-info.md",
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"redirect_url": "/azure/azure-health-insights/overview",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/azure-health-insights/response-info.md",
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"redirect_url": "/azure/azure-health-insights/overview",
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"redirect_document_id": false
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}
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]
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}

articles/azure-health-insights/TOC.yml

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- name: OncoPhenotype
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href: ./oncophenotype/index.yml
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- name: Trial Matcher
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href: ./trial-matcher/index.yml
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href: ./trial-matcher/index.yml
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- name: Radiology Insights
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href: ./radiology-insights/index.yml
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- name: Quickstarts
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expanded: true
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items:

articles/azure-health-insights/deploy-portal.md

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@@ -24,7 +24,7 @@ Once deployment is complete, you can use the Azure portal to navigate to the new
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2. Create a new **Resource group**.
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3. Add a new Azure AI services account to your Resource group and search for **Health Insights**.
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![Screenshot of how to create the new Azure AI Health Insights service.](media/create-service.png)
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[ ![Screenshot of how to create the new Azure AI Health Insights service.](media/create-service.png)](media/create-service.png#lightbox)
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or Use this [link](https://portal.azure.com/#create/Microsoft.CognitiveServicesHealthInsights) to create a new Azure AI services account.
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- **Name**: Enter an Azure AI services account name.
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- **Pricing tier**: Select your pricing tier.
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![Screenshot of how to create new Azure AI services account.](media/create-health-insights.png)
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[ ![Screenshot of how to create new Azure AI services account.](media/create-health-insights.png)](media/create-health-insights.png#lightbox)
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5. Navigate to your newly created service.
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![Screenshot of the Overview of Azure AI services account.](media/created-health-insights.png)
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[ ![Screenshot of the Overview of Azure AI services account.](media/created-health-insights.png)](media/created-health-insights.png#lightbox)
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## Configure private endpoints
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With private endpoints, the network traffic between the clients on the VNet and the Azure AI services account run over the VNet and a private link on the Microsoft backbone network. This eliminates exposure from the public internet.
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With private endpoints, the network traffic between the clients on the VNet and the Azure AI services account run over the VNet and a private link on the Microsoft backbone network. Using private endpoints as described eliminates exposure from the public internet.
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Once the Azure AI services account is successfully created, configure private endpoints from the Networking page under Resource Management.
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![Screenshot of Private Endpoint.](media/private-endpoints.png)
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[ ![Screenshot of Private Endpoint.](media/private-endpoints.png)](media/private-endpoints.png#lightbox)
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## Next steps
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>[!div class="nextstepaction"]
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> [Trial Matcher](trial-matcher/index.yml)
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>[!div class="nextstepaction"]
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> [Radiology Insights](radiology-insights/index.yml)
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---
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author: JanSchietse
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ms.author: janschietse
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ms.date: 01/25/2024
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ms.topic: include
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ms.service: azure-health-insights
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---
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```json
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{
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"configuration" : {
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"inferenceOptions" : {
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"followupRecommendationOptions" : {
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"includeRecommendationsWithNoSpecifiedModality" : true,
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"includeRecommendationsInReferences" : false,
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"provideFocusedSentenceEvidence" : false
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},
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"findingOptions" : {
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"provideFocusedSentenceEvidence" : true
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}
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},
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"inferenceTypes" : [ "finding", "followupRecommendation" ],
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"locale" : "en-US",
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"verbose" : false,
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"includeEvidence" : true
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},
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"patients" : [ {
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"id" : "11111",
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"info" : {
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"sex" : "male",
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"clinicalInfo" : [ {
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"resourceType" : "Observation",
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"status" : "unknown",
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"code" : {
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"coding" : [ {
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"system" : "http://www.nlm.nih.gov/research/umls",
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"code" : "C0018802",
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"display" : "MalignantNeoplasms"
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} ]
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},
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"valueBoolean" : "true"
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} ]
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},
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"encounters" : [ {
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"id" : "encounterid1",
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"period" : {
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"start" : "2014-2-20T00:00:00",
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"end" : "2014-2-20T00:00:00"
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},
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"class" : "inpatient"
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} ],
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"patientDocuments" : [ {
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"type" : "note",
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"clinicalType" : "radiologyReport",
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"id" : "docid1",
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"language" : "en",
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"authors" : [ {
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"id" : "authorid1",
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"name" : "authorname1"
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} ],
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"specialtyType" : "radiology",
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"createdDateTime" : "2014-2-20T00:00:00",
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"administrativeMetadata" : {
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"orderedProcedures" : [ {
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"code" : {
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"coding" : [ {
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"system" : "Https://loinc.org",
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"code" : "LP207608-3",
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"display" : "ULTRASOUND"
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} ]
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},
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"description" : "ULTRASOUND"
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} ],
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"encounterId" : "encounterid1"
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},
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"content" : {
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"sourceType" : "inline",
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"value" : " \n\nIMPRESSION: \n \n1. Given its size, surgical \nconsultation is recommended.\n2. Recommend ultrasound.\n3. Recommend screening.\n\nRECOMMENDATION:\n\nTHIS IS A (AAA) CASE. An aneurysm follow up program has been developed to facilitate the monitoring of your patient and the next ultrasound will be arranged based on approved guidelines. \nKP NW Practice Guidelines for Surveillance of a AAA: Recommended Imaging Intervals \n<3cm No need for followup \n3-3.9cm Every 3 years \n4-4.4cm Every 2 years \n4.5-4.9cm Female every 6 months, Male every year \n5.0-5.5cm Male every 6 months \nReferral to Vascular Surgery: \nFemale >5cm \nMale <60 years of age; >5cm \nMale >61 years of age; >5.5cm.\nIf infrarenal aorta not well seen on US, repeat in 1 month with 24 hour liquid diet. If still not well seen, CT non-contrast abd/pelvis.\n"
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}
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} ]
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} ]
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}
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```

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