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# AWS HealthScribe transmisión
Con la AWS HealthScribe transmisión, puedes transcribir conversaciones médicas en tiempo real. AWS HealthScribe La transmisión es un servicio bidireccional HTTP2 en tiempo real que acepta la transmisión de audio en un canal y vende una transcripción de audio en el otro canal. Una vez finalizada la transmisión, AWS HealthScribe analiza el contenido de la transmisión y produce un archivo JSON de transcripción y un archivo JSON de notas clínicas.
Para iniciar la transmisión, utilice la operación [StartMedicalScribeStream](https://docs.aws.amazon.com/transcribe/latest/APIReference/API_streaming_StartMedicalScribeStream.html)API. Esta API inicia un canal bidireccional HTTP2 basado que se utiliza para transmitir eventos de audio.
Al iniciar una transmisión, especifique primero la configuración de la transmisión en un `MedicalScribeConfigurationEvent`. Este evento incluye las definiciones de los canales, la configuración de cifrado y la configuración de análisis posterior a la transmisión, como la configuración de salida para la generación agregada de transcripciones y notas clínicas.
Una vez que comience a transmitir audio, gestione la transmisión de la siguiente manera:
+ Cuando haya terminado, para empezar a procesar los resultados con el análisis posterior a la transmisión, envíe un `MedicalScribeSessionControlEvent` con un `Type` de `END_OF_SESSION` e AWS HealthScribe inicie el análisis.
+ Para pausar la transmisión, complete la transmisión de entrada sin enviar el `MedicalScribeSessionControlEvent`.
+ Para reanudar una transmisión pausada, utilice la operación de API `StartMedicalScribeStream` y especifique la misma `SessionId`. Es la `SessionId` que utilizó cuando inició originalmente la transmisión.
**Topics**
+ [Directrices y requisitos](#health-scribe-streaming-requirements)
+ [ResourceAccessRoleArn permisos de rol](#health-scribe-data-access-role)
+ [Inicio de la transcripción AWS HealthScribe en streaming](health-scribe-streaming-setting-up.md)
## Directrices y requisitos
Las siguientes son las pautas y los requisitos para la AWS HealthScribe transmisión:
+ Antes de enviar eventos de audio, primero debe especificar la configuración de transmisión en un `[MedicalScribeConfigurationEvent](https://docs.aws.amazon.com/transcribe/latest/APIReference/API_streaming_MedicalScribeConfigurationEvent.html)`.
+ Para ejecutar el análisis posterior a la transmisión, el `ResourceAccessRoleArn` de su `MedicalScribeConfigurationEvent` debe tener los permisos correctos. Para obtener más información, consulte [ResourceAccessRoleArn permisos de rol](#health-scribe-data-access-role).
+ Puede reanudar una sesión tantas veces como desee en un plazo de 5 horas a partir de la creación de la transmisión inicial.
+ Puede transmitir un máximo de 2 horas de audio durante una sesión en todas las solicitudes de transmisión.
+ De forma predeterminada, AWS HealthScribe proporciona cifrado en reposo para proteger los datos confidenciales de los clientes mediante claves Amazon S3 administradas. Al iniciar una transmisión, puede especificar una AWS KMS clave para una segunda capa de cifrado. `ResourceAccessRoleArn`Debe tener permiso para usar la AWS KMS clave. Para obtener más información, consulte [Cifrado de datos en reposo para AWS HealthScribe](health-scribe-encryption.md).
+ Puede utilizar la AWS HealthScribe transmisión con AWS SDKs, excepto el SDK para Python (Boto3) y el SDK para PHP.
+ Si se produce una `LimitExceededException` excepción después de finalizar una transmisión, puede reiniciar la sesión y seguir generando análisis posteriores a la transmisión. Para reiniciar la transmisión, usa la [StartMedicalScribeStream](https://docs.aws.amazon.com/transcribe/latest/APIReference/API_streaming_StartMedicalScribeStream.html)API y usa la misma. `SessionID` A continuación, envía un `MedicalScribeSessionControlEvent` con un `Type` de `END_OF_SESSION` e AWS HealthScribe inicia el análisis.
## ResourceAccessRoleArn permisos de rol
Para ejecutar análisis posteriores a la `ResourceAccessRoleArn` transmisión, `MedicalScribeConfigurationEvent` debe poder acceder a su bucket de salida de Amazon S3 y, si lo proporciona, a su AWS KMS clave. Además, la política de confianza del rol debe conceder permiso al servicio `transcribe.streaming.amazonaws.com` para asumir el rol.
A continuación, se muestra un ejemplo de política de IAM que concede permisos de bucket y permisos AWS KMS clave a Amazon S3. Para obtener más información, consulte [Cifrado de datos en reposo para AWS HealthScribe](health-scribe-encryption.md).
------
#### [ JSON ]
****
```
{
"Version":"2012-10-17",
"Statement": [
{
"Action": [
"s3:PutObject"
],
"Resource": [
"arn:aws:s3:::amzn-s3-demo-bucket",
"arn:aws:s3:::amzn-s3-demo-bucket/*"
],
"Effect": "Allow"
},
{
"Action": [
"kms:DescribeKey",
"kms:Decrypt",
"kms:Encrypt",
"kms:GenerateDataKey*"
],
"Resource": "arn:aws:kms:us-west-2:123456789012:key/1234abcd-12ab-34cd-56ef-123456SAMPLE",
"Effect": "Allow"
}
]
}
```
------
A continuación, se muestra un ejemplo de una política de confianza.
------
#### [ JSON ]
****
```
{
"Version":"2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"Service": [
"transcribe.streaming.amazonaws.com"
]
},
"Action": "sts:AssumeRole"
}
]
}
```
------
# Inicio de la transcripción AWS HealthScribe en streaming
En el siguiente ejemplo de código se muestra cómo configurar una transcripción AWS HealthScribe en streaming mediante AWS SDKs.
**Topics**
+ [SDK para Java 2.x](#health-scribe-java-stream)
+ [Ejemplos de resultados de la transcripción de transmisión](#health-scribe-streaming-output-example)
## SDK para Java 2.x
El siguiente ejemplo usa el SDK para Java 2.x para configurar la transmisión y realizar una [StartMedicalScribeStream](https://docs.aws.amazon.com/transcribe/latest/APIReference/API_streaming_StartMedicalScribeStream.html)solicitud.
```
package org.example;
import io.reactivex.rxjava3.core.BackpressureStrategy;
import io.reactivex.rxjava3.core.Flowable;
import org.reactivestreams.Publisher;
import org.reactivestreams.Subscriber;
import software.amazon.awssdk.auth.credentials.AwsCredentialsProvider;
import software.amazon.awssdk.auth.credentials.DefaultCredentialsProvider;
import software.amazon.awssdk.core.SdkBytes;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.transcribestreaming.TranscribeStreamingAsyncClient;
import software.amazon.awssdk.services.transcribestreaming.model.ClinicalNoteGenerationSettings;
import software.amazon.awssdk.services.transcribestreaming.model.LanguageCode;
import software.amazon.awssdk.services.transcribestreaming.model.MediaEncoding;
import software.amazon.awssdk.services.transcribestreaming.model.MedicalScribeInputStream;
import software.amazon.awssdk.services.transcribestreaming.model.MedicalScribePostStreamAnalyticsSettings;
import software.amazon.awssdk.services.transcribestreaming.model.MedicalScribeSessionControlEventType;
import software.amazon.awssdk.services.transcribestreaming.model.MedicalScribeTranscriptEvent;
import software.amazon.awssdk.services.transcribestreaming.model.MedicalScribeTranscriptSegment;
import software.amazon.awssdk.services.transcribestreaming.model.StartMedicalScribeStreamRequest;
import software.amazon.awssdk.services.transcribestreaming.model.StartMedicalScribeStreamResponseHandler;
import software.amazon.awssdk.services.transcribestreaming.model.medicalscribeinputstream.DefaultConfigurationEvent;
import software.amazon.awssdk.http.nio.netty.NettyNioAsyncHttpClient;
import javax.sound.sampled.AudioFormat;
import javax.sound.sampled.AudioInputStream;
import javax.sound.sampled.AudioSystem;
import javax.sound.sampled.DataLine;
import javax.sound.sampled.LineUnavailableException;
import javax.sound.sampled.TargetDataLine;
import java.io.BufferedInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.io.UncheckedIOException;
import java.util.Arrays;
import java.util.concurrent.CompletableFuture;
public class HealthScribeStreamingDemoApp {
private static final int CHUNK_SIZE_IN_BYTES = 6400;
private static final int SAMPLE_RATE = 16000;
private static final Region REGION = Region.US_EAST_1;
private static final String sessionId = "1234abcd-12ab-34cd-56ef-123456SAMPLE";
private static final String bucketName = "amzn-s3-demo-bucket";
private static final String resourceAccessRoleArn = "arn:aws:iam::123456789012:role/resource-access-role";
private static TranscribeStreamingAsyncClient client;
public static void main(String args[]) {
client = TranscribeStreamingAsyncClient.builder()
.credentialsProvider(getCredentials())
.httpClientBuilder(NettyNioAsyncHttpClient.builder())
.region(REGION)
.build();
try {
StartMedicalScribeStreamRequest request = StartMedicalScribeStreamRequest.builder()
.languageCode(LanguageCode.EN_US.toString())
.mediaSampleRateHertz(SAMPLE_RATE)
.mediaEncoding(MediaEncoding.PCM.toString())
.sessionId(sessionId)
.build();
MedicalScribeInputStream endSessionEvent = MedicalScribeInputStream.sessionControlEventBuilder()
.type(MedicalScribeSessionControlEventType.END_OF_SESSION)
.build();
CompletableFuture result = client.startMedicalScribeStream(
request,
new AudioStreamPublisher(getStreamFromMic(), getConfigurationEvent(),endSessionEvent),
getMedicalScribeResponseHandler());
result.get();
client.close();
} catch (Exception e) {
System.err.println("Error occurred: " + e.getMessage());
e.printStackTrace();
}
}
private static AudioInputStream getStreamFromMic() throws LineUnavailableException {
// Signed PCM AudioFormat with 16kHz, 16 bit sample size, mono
AudioFormat format = new AudioFormat(SAMPLE_RATE, 16, 1, true, false);
DataLine.Info info = new DataLine.Info(TargetDataLine.class, format);
if (!AudioSystem.isLineSupported(info)) {
System.out.println("Line not supported");
throw new LineUnavailableException("The audio system microphone line is not supported.");
}
TargetDataLine line = (TargetDataLine) AudioSystem.getLine(info);
int bufferSize = (CHUNK_SIZE_IN_BYTES / format.getFrameSize()) * format.getFrameSize();
line.open(format);
line.start();
// Create a wrapper class that can be closed when Enter is pressed
AudioInputStream audioStream = new AudioInputStream(line);
// Start a thread to monitor for Enter key
System.out.println("Recording... Press Enter to stop");
Thread monitorThread = new Thread(() -> {
try {
System.in.read();
line.stop();
line.close();
} catch (IOException e) {
e.printStackTrace();
}
});
monitorThread.setDaemon(true); // Set as daemon thread so it doesn't prevent JVM shutdown
monitorThread.start();
return new AudioInputStream(
new BufferedInputStream(new AudioInputStream(line)),
format,
AudioSystem.NOT_SPECIFIED
);
}
private static AwsCredentialsProvider getCredentials() {
return DefaultCredentialsProvider.create();
}
private static StartMedicalScribeStreamResponseHandler getMedicalScribeResponseHandler() {
return StartMedicalScribeStreamResponseHandler.builder()
.onResponse(r -> {
System.out.println("Received Initial response");
})
.onError(Throwable::printStackTrace)
.onComplete(() -> {
System.out.println("=== All records streamed successfully ===");
})
.subscriber(event -> {
if (event instanceof MedicalScribeTranscriptEvent) {
MedicalScribeTranscriptSegment segment = ((MedicalScribeTranscriptEvent) event).transcriptSegment();
if (segment != null && segment.content() != null && !segment.content().isEmpty()) {
System.out.println(segment.content());
}
}
})
.build();
}
private static DefaultConfigurationEvent getConfigurationEvent() {
MedicalScribePostStreamAnalyticsSettings postStreamSettings = MedicalScribePostStreamAnalyticsSettings
.builder()
.clinicalNoteGenerationSettings(
ClinicalNoteGenerationSettings.builder()
.outputBucketName(bucketName)
.build()
)
.build();
return (DefaultConfigurationEvent) MedicalScribeInputStream.configurationEventBuilder()
.resourceAccessRoleArn(resourceAccessRoleArn)
.postStreamAnalyticsSettings(postStreamSettings)
.build();
}
private static class AudioStreamPublisher implements Publisher {
private final InputStream audioInputStream;
private final MedicalScribeInputStream configEvent;
private final MedicalScribeInputStream endSessionEvent;
private AudioStreamPublisher(AudioInputStream audioInputStream,
MedicalScribeInputStream configEvent,
MedicalScribeInputStream endSessionEvent) {
this.audioInputStream = audioInputStream;
this.configEvent = configEvent;
this.endSessionEvent = endSessionEvent;
}
@Override
public void subscribe(Subscriber subscriber) {
createAudioFlowable()
.doOnComplete(() -> {
try {
audioInputStream.close();
} catch (IOException e) {
throw new UncheckedIOException(e);
}
})
.subscribe(subscriber);
}
private Flowable createAudioFlowable() {
// Start with config event
Flowable configFlow = Flowable.just(configEvent);
// Create audio chunk flowable
Flowable audioFlow = Flowable.create(emitter -> {
byte[] buffer = new byte[CHUNK_SIZE_IN_BYTES];
int bytesRead;
try {
while (!emitter.isCancelled() && (bytesRead = audioInputStream.read(buffer)) > 0) {
byte[] audioData = bytesRead < buffer.length
? Arrays.copyOfRange(buffer, 0, bytesRead)
: buffer;
MedicalScribeInputStream audioEvent = MedicalScribeInputStream.audioEventBuilder()
.audioChunk(SdkBytes.fromByteArray(audioData))
.build();
emitter.onNext(audioEvent);
}
emitter.onComplete();
} catch (IOException e) {
emitter.onError(e);
}
}, BackpressureStrategy.BUFFER);
// End with session end event
Flowable endFlow = Flowable.just(endSessionEvent);
// Concatenate all flows
return Flowable.concat(configFlow, audioFlow, endFlow);
}
}
}
```
## Ejemplos de resultados de la transcripción de transmisión
Una vez finalizada la transmisión, AWS HealthScribe analiza el contenido de la transmisión y crea un archivo JSON de transcripciones y un archivo JSON de notas clínicas. A continuación, se muestran ejemplos de cada tipo de salida:
### Ejemplo de salida de transcripción
El siguiente es un ejemplo de un archivo de AWS HealthScribe transcripción de una sesión de streaming.
```
{
"Conversation": {
"ClinicalInsights": [{
"Attributes": [],
"Category": "MEDICAL_CONDITION",
"InsightId": "insightUUID1",
"InsightType": "ClinicalEntity",
"Spans": [{
"BeginCharacterOffset": 12,
"Content": "pain",
"EndCharacterOffset": 15,
"SegmentId": "uuid1"
}],
"Type": "DX_NAME"
}, {
"Attributes": [],
"Category": "TEST_TREATMENT_PROCEDURE",
"InsightId": "insightUUID2",
"InsightType": "ClinicalEntity",
"Spans": [{
"BeginCharacterOffset": 4,
"Content": "mammogram",
"EndCharacterOffset": 12,
"SegmentId": "uuid2"
}],
"Type": "TEST_NAME"
}, {
"Attributes": [],
"Category": "TEST_TREATMENT_PROCEDURE",
"InsightId": "insightUUID3",
"InsightType": "ClinicalEntity",
"Spans": [{
"BeginCharacterOffset": 15,
"Content": "pap smear",
"EndCharacterOffset": 23,
"SegmentId": "uuid3"
}],
"Type": "TEST_NAME"
}, {
"Attributes": [],
"Category": "MEDICATION",
"InsightId": "insightUUID4",
"InsightType": "ClinicalEntity",
"Spans": [{
"BeginCharacterOffset": 28,
"Content": "phentermine",
"EndCharacterOffset": 38,
"SegmentId": "uuid4"
}],
"Type": "GENERIC_NAME"
}, {
"Attributes": [{
"AttributeId": "attributeUUID1",
"Spans": [{
"BeginCharacterOffset": 38,
"Content": "high",
"EndCharacterOffset": 41,
"SegmentId": "uuid5"
}],
"Type": "TEST_VALUE"
}],
"Category": "TEST_TREATMENT_PROCEDURE",
"InsightId": "insightUUID5",
"InsightType": "ClinicalEntity",
"Spans": [{
"BeginCharacterOffset": 14,
"Content": "weight",
"EndCharacterOffset": 19,
"SegmentId": "uuid6"
}],
"Type": "TEST_NAME"
}, {
"Attributes": [],
"Category": "ANATOMY",
"InsightId": "insightUUID6",
"InsightType": "ClinicalEntity",
"Spans": [{
"BeginCharacterOffset": 60,
"Content": "heart",
"EndCharacterOffset": 64,
"SegmentId": "uuid7"
}],
"Type": "SYSTEM_ORGAN_SITE"
}],
"ConversationId": "sampleConversationUUID",
"LanguageCode": "en-US",
"SessionId": "sampleSessionUUID",
"TranscriptItems": [{
"Alternatives": [{
"Confidence": 0.7925,
"Content": "Okay"
}],
"BeginAudioTime": 0.16,
"EndAudioTime": 0.6,
"Type": "PRONUNCIATION"
},
{
"Alternatives": [{
"Confidence": 0,
"Content": "."
}],
"BeginAudioTime": 0,
"EndAudioTime": 0,
"Type": "PUNCTUATION"
},
{
"Alternatives": [{
"Confidence": 1,
"Content": "Good"
}],
"BeginAudioTime": 0.61,
"EndAudioTime": 0.92,
"Type": "PRONUNCIATION"
},
{
"Alternatives": [{
"Confidence": 1,
"Content": "afternoon"
}],
"BeginAudioTime": 0.92,
"EndAudioTime": 1.54,
"Type": "PRONUNCIATION"
},
{
"Alternatives": [{
"Confidence": 0,
"Content": "."
}],
"BeginAudioTime": 0,
"EndAudioTime": 0,
"Type": "PUNCTUATION"
},
{
"Alternatives": [{
"Confidence": 0.9924,
"Content": "You"
}],
"BeginAudioTime": 1.55,
"EndAudioTime": 1.88,
"Type": "PRONUNCIATION"
},
{
"Alternatives": [{
"Confidence": 1,
"Content": "lost"
}],
"BeginAudioTime": 1.88,
"EndAudioTime": 2.19,
"Type": "PRONUNCIATION"
},
{
"Alternatives": [{
"Confidence": 1,
"Content": "one"
}],
"BeginAudioTime": 2.19,
"EndAudioTime": 2.4,
"Type": "PRONUNCIATION"
},
{
"Alternatives": [{
"Confidence": 1,
"Content": "lb"
}],
"BeginAudioTime": 2.4,
"EndAudioTime": 2.97,
"Type": "PRONUNCIATION"
}
],
"TranscriptSegments": [{
"BeginAudioTime": 0.16,
"Content": "Okay.",
"EndAudioTime": 0.6,
"ParticipantDetails": {
"ParticipantRole": "CLINICIAN_0"
},
"SectionDetails": {
"SectionName": "SUBJECTIVE"
},
"SegmentId": "uuid1"
}, {
"BeginAudioTime": 0.61,
"Content": "Good afternoon.",
"EndAudioTime": 1.54,
"ParticipantDetails": {
"ParticipantRole": "CLINICIAN_0"
},
"SectionDetails": {
"SectionName": "OTHER"
},
"SegmentId": "uuid2"
}, {
"BeginAudioTime": 1.55,
"Content": "You lost one lb.",
"EndAudioTime": 2.97,
"ParticipantDetails": {
"ParticipantRole": "CLINICIAN_0"
},
"SectionDetails": {
"SectionName": "SUBJECTIVE"
},
"SegmentId": "uuid3"
}, {
"BeginAudioTime": 2.98,
"Content": "Yeah, I think it, uh, do you feel more energy?",
"EndAudioTime": 6.95,
"ParticipantDetails": {
"ParticipantRole": "CLINICIAN_0"
},
"SectionDetails": {
"SectionName": "SUBJECTIVE"
},
"SegmentId": "uuid4"
}, {
"BeginAudioTime": 6.96,
"Content": "Yes.",
"EndAudioTime": 7.88,
"ParticipantDetails": {
"ParticipantRole": "CLINICIAN_0"
},
"SectionDetails": {
"SectionName": "SUBJECTIVE"
},
"SegmentId": "uuid5"
}, {
"BeginAudioTime": 7.89,
"Content": "Uh, how about craving for the carbohydrate or sugar or fat or anything?",
"EndAudioTime": 17.93,
"ParticipantDetails": {
"ParticipantRole": "CLINICIAN_0"
},
"SectionDetails": {
"SectionName": "SUBJECTIVE"
},
"SegmentId": "uuid6"
}]
}
}
```
### Ejemplos de resultados de documentación clínica
El siguiente es un ejemplo de un archivo de información sobre la documentación AWS HealthScribe clínica de una sesión de streaming.
```
{
"ClinicalDocumentation": {
"Sections": [
{
"SectionName": "CHIEF_COMPLAINT",
"Summary": [
{
"EvidenceLinks": [
{
"SegmentId": "uuid1"
},
{
"SegmentId": "uuid2"
},
{
"SegmentId": "uuid3"
},
{
"SegmentId": "uuid4"
},
{
"SegmentId": "uuid5"
},
{
"SegmentId": "uuid6"
}
],
"SummarizedSegment": "Weight loss."
}
]
},
{
"SectionName": "HISTORY_OF_PRESENT_ILLNESS",
"Summary": [
{
"EvidenceLinks": [
{
"SegmentId": "uuid7"
},
{
"SegmentId": "uuid8"
},
{
"SegmentId": "uuid9"
},
{
"SegmentId": "uuid10"
}
],
"SummarizedSegment": "The patient is seen today for a follow-up of weight loss."
},
{
"EvidenceLinks": [
{
"SegmentId": "uuid11"
},
{
"SegmentId": "uuid12"
},
{
"SegmentId": "uuid13"
}
],
"SummarizedSegment": "They report feeling more energy and craving carbohydrates, sugar, and fat."
},
{
"EvidenceLinks": [
{
"SegmentId": "uuid14"
},
{
"SegmentId": "uuid15"
},
{
"SegmentId": "uuid16"
}
],
"SummarizedSegment": "The patient is up to date on their mammogram and pap smear."
},
{
"EvidenceLinks": [
{
"SegmentId": "uuid17"
},
{
"SegmentId": "uuid18"
},
{
"SegmentId": "uuid19"
},
{
"SegmentId": "uuid20"
}
],
"SummarizedSegment": "The patient is taking phentermine and would like to continue."
}
]
},
{
"SectionName": "REVIEW_OF_SYSTEMS",
"Summary": [
{
"EvidenceLinks": [
{
"SegmentId": "uuid21"
},
{
"SegmentId": "uuid22"
}
],
"SummarizedSegment": "Patient reports intermittent headaches, occasional chest pains but denies any recent fevers or chills."
},
{
"EvidenceLinks": [
{
"SegmentId": "uuid23"
},
{
"SegmentId": "uuid24"
}
],
"SummarizedSegment": "No recent changes in vision, hearing, or any respiratory complaints."
}
]
},
{
"SectionName": "PAST_MEDICAL_HISTORY",
"Summary": [
{
"EvidenceLinks": [
{
"SegmentId": "uuid25"
},
{
"SegmentId": "uuid26"
}
],
"SummarizedSegment": "Patient has a history of hypertension and was diagnosed with Type II diabetes 5 years ago."
},
{
"EvidenceLinks": [
{
"SegmentId": "uuid27"
},
{
"SegmentId": "uuid28"
}
],
"SummarizedSegment": "Underwent an appendectomy in the early '90s and had a fracture in the left arm during childhood."
}
]
},
{
"SectionName": "ASSESSMENT",
"Summary": [
{
"EvidenceLinks": [
{
"SegmentId": "uuid29"
},
{
"SegmentId": "uuid30"
}
],
"SummarizedSegment": "Weight loss"
}
]
},
{
"SectionName": "PLAN",
"Summary": [
{
"EvidenceLinks": [
{
"SegmentId": "uuid31"
},
{
"SegmentId": "uuid32"
},
{
"SegmentId": "uuid33"
},
{
"SegmentId": "uuid34"
}
],
"SummarizedSegment": "For the condition of Weight loss: The patient was given a 30-day supply of phentermine and was advised to follow up in 30 days."
}
]
}
],
"SessionId": "sampleSessionUUID"
}
}
```