\r\n\t\t\t\t\t\t\t
General
\r\n\t\t\t\t\t\t\t
Prescribed 100mg ibuprofen, taken twice daily.
\r\n\t\t\t\t\t
"
+ },
+ "entry": [
+ {
+ "reference": "List/6d743a3e-e7a2-4cee-a0b5-64361b6c93ad",
+ "type": "List",
+ "display": "General"
+ }
+ ]
+ }
+ ]
+ }
+ },
+ {
+ "fullUrl": "Practitioner/bba2dee3-2eb3-4973-b4b9-62d498b17046",
+ "resource": {
+ "resourceType": "Practitioner",
+ "id": "bba2dee3-2eb3-4973-b4b9-62d498b17046",
+ "name": [
+ {
+ "text": "Unknown",
+ "family": "Unknown"
+ }
+ ]
+ }
+ },
+ {
+ "fullUrl": "Patient/efcccdf7-87f0-4061-b553-09fc11734594",
+ "resource": {
+ "resourceType": "Patient",
+ "id": "efcccdf7-87f0-4061-b553-09fc11734594",
+ "gender": "unknown"
+ }
+ },
+ {
+ "fullUrl": "Encounter/76214457-f94c-4ccf-95ef-ab31e7232d63",
+ "resource": {
+ "resourceType": "Encounter",
+ "id": "76214457-f94c-4ccf-95ef-ab31e7232d63",
+ "meta": {
+ "profile": [
+ "http://hl7.org/fhir/us/core/StructureDefinition/us-core-encounter"
+ ]
+ },
+ "status": "finished",
+ "class": {
+ "system": "http://terminology.hl7.org/CodeSystem/v3-ActCode",
+ "display": "unknown"
+ },
+ "subject": {
+ "reference": "Patient/efcccdf7-87f0-4061-b553-09fc11734594",
+ "type": "Patient"
+ },
+ "period": {
+ "start": "2022-09-06",
+ "end": "2022-09-06"
+ }
+ }
+ },
+ {
+ "fullUrl": "MedicationStatement/ac0264b6-63b7-4cf2-a7c3-f7340788aca7",
+ "resource": {
+ "resourceType": "MedicationStatement",
+ "id": "ac0264b6-63b7-4cf2-a7c3-f7340788aca7",
+ "extension": [
+ {
+ "extension": [
+ {
+ "url": "offset",
+ "valueInteger": 17
+ },
+ {
+ "url": "length",
+ "valueInteger": 9
+ }
+ ],
+ "url": "http://hl7.org/fhir/StructureDefinition/derivation-reference"
+ }
+ ],
+ "status": "active",
+ "medicationCodeableConcept": {
+ "coding": [
+ {
+ "system": "http://www.nlm.nih.gov/research/umls",
+ "code": "C0020740",
+ "display": "ibuprofen"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/aod",
+ "code": "0000019879"
+ },
+ {
+ "system": "http://www.whocc.no/atc",
+ "code": "M01AE01"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/ccpss",
+ "code": "0046165"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/chv",
+ "code": "0000006519"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/csp",
+ "code": "2270-2077"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/drugbank",
+ "code": "DB01050"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/gs",
+ "code": "1611"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/lch_nw",
+ "code": "sh97005926"
+ },
+ {
+ "system": "http://loinc.org",
+ "code": "LP16165-0"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/medcin",
+ "code": "40458"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/mmsl",
+ "code": "d00015"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/msh",
+ "code": "D007052"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/mthspl",
+ "code": "WK2XYI10QM"
+ },
+ {
+ "system": "http://ncimeta.nci.nih.gov",
+ "code": "C561"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/nci_ctrp",
+ "code": "C561"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/nci_dcp",
+ "code": "00803"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/nci_dtp",
+ "code": "NSC0256857"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/nci_fda",
+ "code": "WK2XYI10QM"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/nci_nci-gloss",
+ "code": "CDR0000613511"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/nddf",
+ "code": "002377"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/pdq",
+ "code": "CDR0000040475"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/rcd",
+ "code": "x02MO"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/rxnorm",
+ "code": "5640"
+ },
+ {
+ "system": "http://snomed.info/sct",
+ "code": "E-7772"
+ },
+ {
+ "system": "http://snomed.info/sct",
+ "code": "C-603C0"
+ },
+ {
+ "system": "http://snomed.info/sct",
+ "code": "387207008"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/usp",
+ "code": "m39860"
+ },
+ {
+ "system": "http://www.nlm.nih.gov/research/umls/uspmg",
+ "code": "MTHU000060"
+ },
+ {
+ "system": "http://hl7.org/fhir/ndfrt",
+ "code": "4017840"
+ }
+ ],
+ "text": "ibuprofen"
+ },
+ "subject": {
+ "reference": "Patient/efcccdf7-87f0-4061-b553-09fc11734594",
+ "type": "Patient"
+ },
+ "context": {
+ "reference": "Encounter/76214457-f94c-4ccf-95ef-ab31e7232d63",
+ "type": "Encounter",
+ "display": "unknown"
+ },
+ "dosage": [
+ {
+ "text": "100mg",
+ "timing": {
+ "repeat": {
+ "frequency": 2,
+ "period": 1,
+ "periodUnit": "d"
+ },
+ "code": {
+ "text": "twice daily"
+ }
+ },
+ "doseAndRate": [
+ {
+ "doseQuantity": {
+ "value": 100
+ }
+ }
+ ]
+ }
+ ]
+ }
+ },
+ {
+ "fullUrl": "List/6d743a3e-e7a2-4cee-a0b5-64361b6c93ad",
+ "resource": {
+ "resourceType": "List",
+ "id": "6d743a3e-e7a2-4cee-a0b5-64361b6c93ad",
+ "status": "current",
+ "mode": "snapshot",
+ "title": "General",
+ "subject": {
+ "reference": "Patient/efcccdf7-87f0-4061-b553-09fc11734594",
+ "type": "Patient"
+ },
+ "encounter": {
+ "reference": "Encounter/76214457-f94c-4ccf-95ef-ab31e7232d63",
+ "type": "Encounter",
+ "display": "unknown"
+ },
+ "entry": [
+ {
+ "item": {
+ "reference": "MedicationStatement/ac0264b6-63b7-4cf2-a7c3-f7340788aca7",
+ "type": "MedicationStatement",
+ "display": "ibuprofen"
+ }
+ }
+ ]
+ }
+ }
+ ]
+ }
+ }
+ ],
+ "errors": [],
+ "modelVersion": "2022-03-01"
+ }
+ }
+ ]
+ }
+ }
+ }
+ }
+}
diff --git a/dev/cognitiveservices/data-plane/Language/examples/text/SuccessfulHealthcarePostRequest.json b/dev/cognitiveservices/data-plane/Language/examples/text/SuccessfulHealthcarePostRequest.json
index e43dd063fb2a..24008d037df8 100644
--- a/dev/cognitiveservices/data-plane/Language/examples/text/SuccessfulHealthcarePostRequest.json
+++ b/dev/cognitiveservices/data-plane/Language/examples/text/SuccessfulHealthcarePostRequest.json
@@ -1,7 +1,7 @@
{
"parameters": {
"Ocp-Apim-Subscription-Key": "{API key}",
- "api-version": "2022-07-01-preview",
+ "api-version": "2022-10-01-preview",
"Endpoint": "{Endpoint}",
"jobId": "{Job ID}",
"body": {
diff --git a/dev/cognitiveservices/data-plane/Language/examples/text/SuccessfulHealthcareTaskStatusRequest.json b/dev/cognitiveservices/data-plane/Language/examples/text/SuccessfulHealthcareTaskStatusRequest.json
index 9b2118f9571d..2e7c456a31d0 100644
--- a/dev/cognitiveservices/data-plane/Language/examples/text/SuccessfulHealthcareTaskStatusRequest.json
+++ b/dev/cognitiveservices/data-plane/Language/examples/text/SuccessfulHealthcareTaskStatusRequest.json
@@ -1,7 +1,7 @@
{
"parameters": {
"Ocp-Apim-Subscription-Key": "{API key}",
- "api-version": "2022-07-01-preview",
+ "api-version": "2022-10-01-preview",
"Endpoint": "{Endpoint}",
"jobId": "1780194a-e9c1-4298-b0d4-fdc59ba818a0"
},
diff --git a/dev/cognitiveservices/data-plane/Language/examples/text/SuccessfulLanguageDetectionRequest.json b/dev/cognitiveservices/data-plane/Language/examples/text/SuccessfulLanguageDetectionRequest.json
index 9aea23cf3940..ce942d2d2de3 100644
--- a/dev/cognitiveservices/data-plane/Language/examples/text/SuccessfulLanguageDetectionRequest.json
+++ b/dev/cognitiveservices/data-plane/Language/examples/text/SuccessfulLanguageDetectionRequest.json
@@ -21,6 +21,10 @@
{
"id": "3",
"text": "Hola mundo"
+ },
+ {
+ "id": "4",
+ "text": "Tumhara naam kya hai?"
}
]
}
@@ -59,6 +63,16 @@
},
"id": "3",
"warnings": []
+ },
+ {
+ "detectedLanguage": {
+ "confidenceScore": 1,
+ "iso6391Name": "hi",
+ "name": "Hindi",
+ "script": "Latin"
+ },
+ "id": "4",
+ "warnings": []
}
],
"errors": [],
diff --git a/dev/cognitiveservices/data-plane/Language/questionanswering-authoring.json b/dev/cognitiveservices/data-plane/Language/questionanswering-authoring.json
index 144a827de3bc..97ad3849f6a0 100644
--- a/dev/cognitiveservices/data-plane/Language/questionanswering-authoring.json
+++ b/dev/cognitiveservices/data-plane/Language/questionanswering-authoring.json
@@ -3,7 +3,7 @@
"info": {
"title": "Microsoft Cognitive Language Service - Question Answering - Authoring",
"description": "The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction, language detection and question answering. Further documentation can be found in