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‎articles/application-gateway/ingress-controller-annotations.md

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author: mbender-ms
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ms.service: azure-application-gateway
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ms.topic: concept-article
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ms.date: 9/17/2024
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ms.date: 5/23/2025
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ms.author: mbender
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---
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kind: Ingress
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metadata:
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name: go-server-ingress-bkprefix
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namespace: test-ag
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annotations:
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kubernetes.io/ingress.class: azure/application-gateway
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appgw.ingress.kubernetes.io/backend-path-prefix: "/test/"
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kind: Ingress
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metadata:
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name: go-server-ingress-timeout
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namespace: test-ag
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annotations:
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kubernetes.io/ingress.class: azure/application-gateway
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appgw.ingress.kubernetes.io/backend-hostname: "internal.example.com"
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kind: Ingress
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metadata:
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name: go-server-ingress
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namespace: test-ag
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annotations:
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kubernetes.io/ingress.class: azure/application-gateway
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appgw.ingress.kubernetes.io/health-probe-hostname: "contoso.com"
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kind: Ingress
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metadata:
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name: go-server-ingress-redirect
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namespace: test-ag
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annotations:
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kubernetes.io/ingress.class: azure/application-gateway
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appgw.ingress.kubernetes.io/ssl-redirect: "true"
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kind: Ingress
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metadata:
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name: go-server-ingress-drain
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namespace: test-ag
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annotations:
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kubernetes.io/ingress.class: azure/application-gateway
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appgw.ingress.kubernetes.io/connection-draining: "true"
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kind: Ingress
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metadata:
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name: go-server-ingress-affinity
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namespace: test-ag
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annotations:
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kubernetes.io/ingress.class: azure/application-gateway
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appgw.ingress.kubernetes.io/cookie-based-affinity: "true"
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kind: Ingress
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metadata:
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namespace: test-ag
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kubernetes.io/ingress.class: azure/application-gateway
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appgw.ingress.kubernetes.io/request-timeout: "20"
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kind: Ingress
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metadata:
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name: go-server-ingress-privateip
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namespace: test-ag
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appgw.ingress.kubernetes.io/use-private-ip: "true"
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kind: Ingress
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metadata:
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name: go-server-ingress-overridefrontendport
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namespace: test-ag
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annotations:
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kubernetes.io/ingress.class: azure/application-gateway
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appgw.ingress.kubernetes.io/override-frontend-port: "8080"
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kind: Ingress
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metadata:
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appgw.ingress.kubernetes.io/backend-protocol: "https"
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kind: Ingress
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metadata:
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namespace: test-ag
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annotations:
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kubernetes.io/ingress.class: azure/application-gateway
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appgw.ingress.kubernetes.io/hostname-extension: "hostname1, hostname2"
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kind: Ingress
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metadata:
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namespace: commerce
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annotations:
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kubernetes.io/ingress.class: azure/application-gateway
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appgw.ingress.kubernetes.io/waf-policy-for-path: "/subscriptions/abcd/resourceGroups/rg/providers/Microsoft.Network/applicationGatewayWebApplicationFirewallPolicies/adserver"
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kind: Ingress
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name: go-server-ingress-certificate
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kubernetes.io/ingress.class: azure/application-gateway
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appgw.ingress.kubernetes.io/appgw-ssl-certificate: "name-of-appgw-installed-certificate"
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kind: Ingress
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name: go-server-ingress-certificate
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appgw.ingress.kubernetes.io/appgw-ssl-certificate: "name-of-appgw-installed-certificate"
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annotations:
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kind: Ingress
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appgw.ingress.kubernetes.io/rule-priority: 10

‎articles/azure-health-insights/includes/example-inference-follow-up-communication-json-request.md

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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.date: 03/17/2025
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ms.topic: include
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---

‎articles/azure-health-insights/includes/example-inference-follow-up-communication-json-response.md

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---
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author: JanSchietse
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ms.author: janschietse
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---
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]
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}
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],
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"modelVersion": "2024-04-16"
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"modelVersion": "2025-03-17"
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},
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"id": "followupCommunication",
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"createdAt": "2024-05-14T15:34:48Z",
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"expiresAt": "2024-05-15T15:34:48Z",
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"updatedAt": "2024-05-14T15:34:51Z",
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"id": "fca108",
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"createdAt": "2025-04-30T09:49:47Z",
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"expiresAt": "2025-05-01T09:49:47Z",
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"updatedAt": "2025-04-30T09:49:50Z",
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"status": "succeeded"
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}
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```

‎articles/azure-health-insights/includes/example-inference-quality-measure-json-request.md

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---
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author: JanSchietse
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ms.author: janschietse
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ms.date: 03/17/2025
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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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"jobData" : {
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"configuration" : {
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"inferenceOptions" : {
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"followupRecommendationOptions" : {
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"includeRecommendationsWithNoSpecifiedModality" : false,
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"includeRecommendationsInReferences" : false,
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"provideFocusedSentenceEvidence" : true
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},
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"findingOptions" : {
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"provideFocusedSentenceEvidence" : true
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},
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"QualityMeasureOptions" : {
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"measureTypes" : [ "mips364", "mips360", "mips436" ]
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}
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},
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"inferenceTypes" : ["qualityMeasure"],
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"locale" : "en-US",
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"verbose" : false,
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"includeEvidence" : false
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},
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"patients" : [ {
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"id" : "11111",
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"details" : {
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"sex" : "female",
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"birthDate" : "1939-05-25",
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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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"createdAt" : "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" : "http://loinc.org",
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"code" : "CTCHWO",
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"display" : "CT CHEST WO CONTRAST "
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} ]
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},
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"description" : "CT CHEST WO CONTRAST "
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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\n\n\r\n\nEXAM: CT CHEST WO CONTRAST\n\nINDICATION: abnormal lung findings. History of emphysema.\n\nTECHNIQUE: Helical CT images through the chest, without contrast. This exam was performed using one or more of the following dose reduction techniques: Automated exposure control, adjustment of the mA and/or kV according to patient size, and/or use of iterative reconstruction technique. \n\nCOMPARISON: Chest CT dated 6/21/2022.\n\nNumber of previous CT examinations or cardiac nuclear medicine (myocardial perfusion) examinations performed in the preceding 12-months: 2\n\nFINDINGS: \n\nHeart size is normal. No pericardial effusion. Thoracic aorta as well as pulmonary arteries are normal in caliber. There are dense coronary artery calcifications. No enlarged axillary, mediastinal, or hilar lymph nodes by CT size criteria. Central airways are widely patent. No bronchial wall thickening. No pneumothorax, pleural effusion or pulmonary edema. The previously identified posterior right upper lobe nodules are no longer seen. However, there are multiple new small pulmonary nodules. An 8 mm nodule in the right upper lobe, image #15 series 4. New posterior right upper lobe nodule measuring 6 mm, image #28 series 4. New 1.2 cm pulmonary nodule, right upper lobe, image #33 series 4. New 4 mm pulmonary nodule left upper lobe, image #22 series 4. New 8 mm pulmonary nodule in the left upper lobe adjacent to the fissure, image #42 series 4. A few new tiny 2 to 3 mm pulmonary nodules are also noted in the left lower lobe. As before there is a background of severe emphysema. No evidence of pneumonia.\n\nLimited evaluation of the upper abdomen shows no concerning abnormality.\n\nReview of bone windows shows no aggressive appearing osseous lesions.\n\n\nIMPRESSION:\n\n1. Previously identified small pulmonary nodules in the right upper lobe have resolved, but there are multiple new small nodules scattered throughout both lungs. Recommend short-term follow-up with noncontrast chest CT in 3 months as per current Current guidelines (2017 Fleischner Society).\n2. Severe emphysema.\n\nFindings communicated to Dr. Jane Smith.\n\n\r\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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```

‎articles/azure-health-insights/includes/example-inference-quality-measure-json-response.md

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---
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ms.date: 03/17/2025
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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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"result": {
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"patientResults": [
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{
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"patientId": "11111",
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"inferences": [
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{
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"kind": "qualityMeasure",
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"qualityMeasureDenominator": "INCIDENTAL PULMONARY NODULE",
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"complianceType": "performanceMet",
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"qualityCriteria": [
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"APPROPRIATE FOLLOW-UP RECOMMENDATION"
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]
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},
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{
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"kind": "qualityMeasure",
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"qualityMeasureDenominator": "HIGH DOSE RADIATION IMAGING",
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"complianceType": "performanceMet",
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"qualityCriteria": [
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"DOCUMENTED COUNT"
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]
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},
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{
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"kind": "qualityMeasure",
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"qualityMeasureDenominator": "DOSE LOWERING TECHNIQUE",
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"complianceType": "performanceMet",
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"qualityCriteria": [
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"AUTOMATED EXPOSURE CONTROL",
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"MA OR KV ADJUSTMENT",
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"ITERATIVE RECONSTRUCTION"
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]
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}
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]
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}
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],
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"modelVersion": "2025-03-17"
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},
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"id": "fca112",
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"createdAt": "2025-04-30T11:25:58Z",
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"expiresAt": "2025-05-01T11:25:58Z",
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"updatedAt": "2025-04-30T11:26:10Z",
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"status": "succeeded"
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}
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```

‎articles/azure-health-insights/includes/example-inference-radiology-procedure-json-request.md

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---

‎articles/azure-health-insights/includes/example-inference-radiology-procedure-json-response.md

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"id": "radiologyProcedure",
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"createdAt": "2024-05-14T15:46:01Z",
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"updatedAt": "2024-05-14T15:46:03Z",
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"id": "fca113",
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"createdAt": "2025-04-30T11:28:03Z",
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"expiresAt": "2025-05-01T11:28:03Z",
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"updatedAt": "2025-04-30T11:28:09Z",
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"status": "succeeded"
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}
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```

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