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Almacena datos de atención médica con bibliotecas cliente

En esta página, se muestra cómo usar la API de Cloud Healthcare y las bibliotecas cliente de la API de Google para completar las siguientes tareas:

Crear un conjunto de datos de la API de Cloud Healthcare
Crear uno de los siguientes almacenes de datos dentro del conjunto de datos:

Almacén de Imágenes y comunicaciones digitales en medicina (DICOM)
Almacén de recursos para una interoperabilidad de atención médica rápida (FHIR)
Almacén de la versión 2 internacional del nivel de salud siete (HL7v2)

Almacenar e inspeccionar un tipo particular de datos médicos en el almacén DICOM, FHIR o HL7v2

Si solo te interesa trabajar con un tipo de almacén de datos, puedes ir directamente a esa sección de la guía de inicio rápido después de completar los pasos en Antes de comenzar y Crea un conjunto de datos.

Antes de comenzar

Accede a tu cuenta de Google Cloud. Si eres nuevo en Google Cloud, crea una cuenta para evaluar el rendimiento de nuestros productos en situaciones reales. Los clientes nuevos también obtienen $300 en créditos gratuitos para ejecutar, probar y, además, implementar cargas de trabajo.

Instala Google Cloud CLI.

Para inicializar la CLI de gcloud, ejecuta el siguiente comando:

gcloud init

Crea o selecciona un proyecto de Google Cloud.

Crea un proyecto de Google Cloud:
```
gcloud projects create PROJECT_ID
```
Reemplaza PROJECT_ID por un nombre para el proyecto de Google Cloud que estás creando.
Selecciona el proyecto de Google Cloud que creaste:
```
gcloud config set project PROJECT_ID
```
Reemplaza PROJECT_ID por el nombre del proyecto de Google Cloud.

Asegúrate de que la facturación esté habilitada para tu proyecto de Google Cloud.

Habilita la Cloud Healthcare API:

gcloud services enable healthcare.googleapis.com

Crea credenciales de autenticación locales para tu Cuenta de Google:

gcloud auth application-default login

Otorga roles a tu Cuenta de Google. Ejecuta el siguiente comando una vez para cada uno de los siguientes roles de IAM: roles/healthcare.datasetAdmin, roles/healthcare.fhirStoreAdmin, roles/healthcare.dicomStoreAdmin, roles/healthcare.hl7V2StoreAdmin

gcloud projects add-iam-policy-binding PROJECT_ID --member="user:EMAIL_ADDRESS" --role=ROLE

Reemplaza PROJECT_ID con el ID del proyecto.
Reemplaza EMAIL_ADDRESS por tu dirección de correo electrónico.
Reemplaza ROLE por cada rol individual.

Instala Google Cloud CLI.

Para inicializar la CLI de gcloud, ejecuta el siguiente comando:

gcloud init

Crea o selecciona un proyecto de Google Cloud.

Crea un proyecto de Google Cloud:
```
gcloud projects create PROJECT_ID
```
Reemplaza PROJECT_ID por un nombre para el proyecto de Google Cloud que estás creando.
Selecciona el proyecto de Google Cloud que creaste:
```
gcloud config set project PROJECT_ID
```
Reemplaza PROJECT_ID por el nombre del proyecto de Google Cloud.

Asegúrate de que la facturación esté habilitada para tu proyecto de Google Cloud.

Habilita la Cloud Healthcare API:

gcloud services enable healthcare.googleapis.com

Crea credenciales de autenticación locales para tu Cuenta de Google:

gcloud auth application-default login

gcloud projects add-iam-policy-binding PROJECT_ID --member="user:EMAIL_ADDRESS" --role=ROLE

Reemplaza PROJECT_ID con el ID del proyecto.
Reemplaza EMAIL_ADDRESS por tu dirección de correo electrónico.
Reemplaza ROLE por cada rol individual.

Instala las bibliotecas cliente

En los siguientes ejemplos, se muestra cómo instalar las bibliotecas cliente de la API de Google:

Go

Si quieres obtener información para configurar un entorno de desarrollo de Go, consulta Configura un entorno de desarrollo de Go.

go get google.golang.org/api/healthcare/v1

Java

Si quieres obtener información para configurar un entorno de desarrollo de Java, consulta Cómo configurar un entorno de desarrollo de Java.

Si usas Maven, agrega lo siguiente a tu archivo pom.xml con una versión de la lista de materiales (BOM) de las bibliotecas de Google Cloud. Para obtener más información sobre las BoM, consulta Usa bibliotecas cliente de Cloud.

<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>26.18.0</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>

<dependencies>
  <dependency>
    <groupId>com.google.apis</groupId>
    <artifactId>google-api-services-healthcare</artifactId>
  </dependency>

</dependencies>

Node.js

Para obtener información sobre cómo configurar un entorno de desarrollo de Node.js, consulta Cómo configurar un entorno de desarrollo de Node.js.

npm install @googleapis/healthcare

Python

Para obtener información sobre cómo configurar un entorno de desarrollo de Python, consulta Cómo configurar un entorno de desarrollo de Python.

# Use a virtual environment as shown in the Python development environment guide.
pip install --upgrade google-api-python-client

Crea un conjunto de datos

Los conjuntos de datos contienen almacenes de datos y estos contienen datos de atención médica. Para usar la API de Cloud Healthcare, debes crear al menos un conjunto de datos.

Ejecuta el siguiente ejemplo para crear un conjunto de datos. Usarás este conjunto de datos en esta guía de inicio rápido.

Antes de ejecutar las muestras, quita los comentarios y proporciona los siguientes valores si es necesario:

El ID del proyecto de Google Cloud que creaste o seleccionaste en la sección Antes de comenzar para el ID del proyecto
my-dataset para el ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos

Go

Antes de probar esta muestra, sigue las instrucciones de configuración de Go que se encuentran en la Guía de inicio rápido de la API de Cloud Healthcare con bibliotecas cliente. Si deseas obtener más información, consulta la documentación de referencia de la API de Go de Cloud Healthcare.

Para autenticarte en la API de Cloud Healthcare, configura las credenciales predeterminadas de la aplicación. Si deseas obtener más información, consulta Configura la autenticación para un entorno de desarrollo local.

import (
	"context"
	"fmt"
	"io"
	"time"

	healthcare "google.golang.org/api/healthcare/v1"
)

// createDataset creates a dataset.
func createDataset(w io.Writer, projectID, location, datasetID string) error {
	// Set a deadline for the dataset to become initialized.
	ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
	defer cancel()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	datasetsService := healthcareService.Projects.Locations.Datasets

	parent := fmt.Sprintf("projects/%s/locations/%s", projectID, location)

	resp, err := datasetsService.Create(parent, &healthcare.Dataset{}).DatasetId(datasetID).Context(ctx).Do()
	if err != nil {
		return fmt.Errorf("Create: %w", err)
	}

	// The dataset is not always ready to use immediately, instead a long-running operation is returned.
	// This is how you might poll the operation to ensure the dataset is fully initialized before proceeding.
	// Initialization usually takes less than a minute.
	for !resp.Done {
		time.Sleep(15 * time.Second)
		resp, err = datasetsService.Operations.Get(resp.Name).Context(ctx).Do()
		if err != nil {
			return fmt.Errorf("Operations.Get(%s): %w", resp.Name, err)
		}
	}

	fmt.Fprintf(w, "Created dataset: %q\n", resp.Name)
	return nil
}

Java

Antes de probar esta muestra, sigue las instrucciones de configuración de Java que se encuentran en la Guía de inicio rápido de la API de Cloud Healthcare con bibliotecas cliente. Si deseas obtener más información, consulta la documentación de referencia de la API de Java de Cloud Healthcare.

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.Dataset;
import com.google.api.services.healthcare.v1.model.Operation;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

public class DatasetCreate {
  private static final String DATASET_NAME = "projects/%s/locations/%s/datasets/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void datasetCreate(String projectId, String regionId, String datasetId)
      throws IOException {
    // String projectId = "your-project-id";
    // String regionId = "us-central1";
    // String datasetId = "your-dataset-id";

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Configure the dataset to be created.
    Dataset dataset = new Dataset();
    dataset.setTimeZone("America/Chicago");

    // Create request and configure any parameters.
    String parentName = String.format("projects/%s/locations/%s", projectId, regionId);
    Datasets.Create request = client.projects().locations().datasets().create(parentName, dataset);
    request.setDatasetId(datasetId);

    // Execute the request, wait for the operation to complete, and process the results.
    try {
      Operation operation = request.execute();
      System.out.println(operation.toPrettyString());
      while (operation.getDone() == null || !operation.getDone()) {
        // Update the status of the operation with another request.
        Thread.sleep(500); // Pause for 500ms between requests.
        operation =
            client
                .projects()
                .locations()
                .datasets()
                .operations()
                .get(operation.getName())
                .execute();
      }
      System.out.println("Dataset created. Response content: " + operation.getResponse());
    } catch (Exception ex) {
      System.out.printf("Error during request execution: %s\n", ex.toString());
      ex.printStackTrace(System.out);
    }
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

Antes de probar esta muestra, sigue las instrucciones de configuración de Node.js que se encuentran en la Guía de inicio rápido de la API de Cloud Healthcare con bibliotecas cliente. Si deseas obtener más información, consulta la documentación de referencia de la API de Node.js de Cloud Healthcare.

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const createDataset = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  const parent = `projects/${projectId}/locations/${cloudRegion}`;
  const request = {parent, datasetId};

  await healthcare.projects.locations.datasets.create(request);
  console.log(`Created dataset: ${datasetId}`);
};

createDataset();

Python

Antes de probar esta muestra, sigue las instrucciones de configuración de Python que se encuentran en la Guía de inicio rápido de la API de Cloud Healthcare con bibliotecas cliente. Si deseas obtener más información, consulta la documentación de referencia de la API de Python de Cloud Healthcare.

# Imports the Dict type for runtime type hints.
from typing import Dict

def create_dataset(project_id: str, location: str, dataset_id: str) -> Dict[str, str]:
    """Creates a Cloud Healthcare API dataset.

    See
    https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/datasets
    before running the sample.
    See
    https://googleapis.github.io/google-api-python-client/docs/dyn/healthcare_v1.projects.locations.datasets.html#create
    for the Python API reference.

    Args:
      project_id: The project ID or project number of the Google Cloud project you want
          to use.
      location: The name of the dataset's location.
      dataset_id: The ID of the dataset to create.

    Returns:
      A dictionary representing a long-running operation that results from
      calling the 'CreateDataset' method. Dataset creation is typically fast.
    """
    # Imports the Python built-in time module.
    import time

    # Imports the Google API Discovery Service.
    from googleapiclient import discovery

    # Imports HttpError from the Google Python API client errors module.
    from googleapiclient.errors import HttpError

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'
    # location = 'us-central1'
    # dataset_id = 'my-dataset'
    dataset_parent = f"projects/{project_id}/locations/{location}"

    request = (
        client.projects()
        .locations()
        .datasets()
        .create(parent=dataset_parent, body={}, datasetId=dataset_id)
    )

    # Wait for operation to complete.
    start_time = time.time()
    max_time = 600  # 10 minutes, but dataset creation is typically only a few seconds.

    try:
        operation = request.execute()
        while not operation.get("done", False):
            # Poll until the operation finishes.
            print("Waiting for operation to finish...")
            if time.time() - start_time > max_time:
                raise TimeoutError("Timed out waiting for operation to finish.")
            operation = (
                client.projects()
                .locations()
                .datasets()
                .operations()
                .get(name=operation["name"])
                .execute()
            )
            # Wait 5 seconds between each poll to the operation.
            time.sleep(5)

        if "error" in operation:
            raise RuntimeError(f"Create dataset operation failed: {operation['error']}")
        else:
            dataset_name = operation["response"]["name"]
            print(f"Created dataset: {dataset_name}")
            return operation

    except HttpError as err:
        # A common error is when the dataset already exists.
        if err.resp.status == 409:
            print(f"Dataset with ID {dataset_id} already exists.")
            return
        else:
            raise err

Para completar esta guía de inicio rápido, elige una de las siguientes secciones:

Almacena y visualiza una instancia de DICOM
Almacena y visualiza recursos de FHIR
Almacena y visualiza un mensaje de HL7v2

Almacena y visualiza una instancia de DICOM

En esta sección, se muestra cómo completar las siguientes tareas:

Crea un almacén de DICOM.
Almacena una instancia de DICOM en el almacén de DICOM.
Ver los metadatos de la instancia de DICOM.

La API de Cloud Healthcare implementa el estándar DICOMweb para almacenar y acceder a datos de imágenes médicas.

Crea un almacén de DICOM

Antes de ejecutar las muestras, quita los comentarios y proporciona los siguientes valores si es necesario:

Los almacenes de DICOM existen dentro de conjuntos de datos y contienen instancias de DICOM. Ejecuta las siguientes muestras para crear un almacén de DICOM.

Antes de ejecutar las muestras, quita los comentarios y proporciona los siguientes valores si es necesario:

El ID del proyecto de Google Cloud que creaste o seleccionaste en la sección Antes de comenzar para el ID del proyecto
my-dataset para el ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-dicom-store para el ID del almacén de DICOM

Go

import (
	"context"
	"fmt"
	"io"

	healthcare "google.golang.org/api/healthcare/v1"
)

// createDICOMStore creates a DICOM store.
func createDICOMStore(w io.Writer, projectID, location, datasetID, dicomStoreID string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.DicomStores

	store := &healthcare.DicomStore{}
	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s", projectID, location, datasetID)

	resp, err := storesService.Create(parent, store).DicomStoreId(dicomStoreID).Do()
	if err != nil {
		return fmt.Errorf("Create: %w", err)
	}

	fmt.Fprintf(w, "Created DICOM store: %q\n", resp.Name)
	return nil
}

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.DicomStores;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.DicomStore;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;

public class DicomStoreCreate {
  private static final String DATASET_NAME = "projects/%s/locations/%s/datasets/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void dicomStoreCreate(String datasetName, String dicomStoreId) throws IOException {
    // String datasetName =
    //     String.format(DATASET_NAME, "your-project-id", "your-region-id", "your-dataset-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Configure the dicomStore to be created.
    Map<String, String> labels = new HashMap<>();
    labels.put("key1", "value1");
    labels.put("key2", "value2");
    DicomStore content = new DicomStore().setLabels(labels);

    // Create request and configure any parameters.
    DicomStores.Create request =
        client
            .projects()
            .locations()
            .datasets()
            .dicomStores()
            .create(datasetName, content)
            .setDicomStoreId(dicomStoreId);

    // Execute the request and process the results.
    DicomStore response = request.execute();
    System.out.println("DICOM store created: " + response.toPrettyString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const createDicomStore = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const dicomStoreId = 'my-dicom-store';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}`;
  const request = {parent, dicomStoreId};

  await healthcare.projects.locations.datasets.dicomStores.create(request);
  console.log(`Created DICOM store: ${dicomStoreId}`);
};

createDicomStore();

Python

def create_dicom_store(project_id, location, dataset_id, dicom_store_id):
    """Creates a new DICOM store within the parent dataset.

    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/dicom
    before running the sample."""
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the DICOM store's parent dataset ID
    # dicom_store_id = 'my-dicom-store'  # replace with the DICOM store's ID
    dicom_store_parent = "projects/{}/locations/{}/datasets/{}".format(
        project_id, location, dataset_id
    )

    request = (
        client.projects()
        .locations()
        .datasets()
        .dicomStores()
        .create(parent=dicom_store_parent, body={}, dicomStoreId=dicom_store_id)
    )

    response = request.execute()
    print(f"Created DICOM store: {dicom_store_id}")
    return response

Almacena una instancia de DICOM

Descarga el archivo de instancia de DICOM de muestra en tu máquina. El archivo contiene una radiografía desidentificada de X.

curl

curl -O https://cloud.google.com/healthcare-api/docs/resources/dicom_00000001_000.dcm

PowerShell

Invoke-WebRequest -Uri "https://cloud.google.com/healthcare-api/docs/resources/dicom_00000001_000.dcm" -OutFile $pwd/dicom_00000001_000.dcm

Ejecuta las siguientes muestras para almacenar la instancia de DICOM. En las muestras, se supone que ejecutas el código desde el mismo directorio en el que descargaste la instancia de DICOM.

Antes de ejecutar las muestras, quita los comentarios y proporciona los siguientes valores si es necesario:

El ID del proyecto de Google Cloud que creaste o seleccionaste en la sección Antes de comenzar para el ID del proyecto
my-dataset para el ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-dicom-store para el ID del almacén de DICOM
dicom_00000001_000.dcm para el nombre del archivo de DICOM

Go

import (
	"bytes"
	"context"
	"fmt"
	"io"
	"io/ioutil"

	healthcare "google.golang.org/api/healthcare/v1"
)

// dicomWebStoreInstance stores the given dicomFile with the dicomWebPath.
func dicomWebStoreInstance(w io.Writer, projectID, location, datasetID, dicomStoreID, dicomWebPath, dicomFile string) error {
	ctx := context.Background()

	dicomData, err := ioutil.ReadFile(dicomFile)
	if err != nil {
		return fmt.Errorf("ReadFile: %w", err)
	}

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.DicomStores

	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)

	call := storesService.StoreInstances(parent, dicomWebPath, bytes.NewReader(dicomData))
	call.Header().Set("Content-Type", "application/dicom")
	resp, err := call.Do()
	if err != nil {
		return fmt.Errorf("StoreInstances: %w", err)
	}
	defer resp.Body.Close()

	respBytes, err := ioutil.ReadAll(resp.Body)
	if err != nil {
		return fmt.Errorf("could not read response: %w", err)
	}

	if resp.StatusCode > 299 {
		return fmt.Errorf("StoreInstances: status %d %s: %s", resp.StatusCode, resp.Status, respBytes)
	}
	fmt.Fprintf(w, "%s", respBytes)
	return nil
}

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.File;
import java.io.IOException;
import java.net.URISyntaxException;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.Collections;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.HttpStatus;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpUriRequest;
import org.apache.http.client.methods.RequestBuilder;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.entity.ByteArrayEntity;
import org.apache.http.impl.client.HttpClients;

public class DicomWebStoreInstance {
  private static final String DICOM_NAME = "projects/%s/locations/%s/datasets/%s/dicomStores/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void dicomWebStoreInstance(String dicomStoreName, String filePath)
      throws IOException, URISyntaxException {
    // String dicomStoreName =
    //    String.format(
    //        DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");
    // String filePath = "path/to/file.dcm";

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    HttpClient httpClient = HttpClients.createDefault();
    String uri = String.format("%sv1/%s/dicomWeb/studies", client.getRootUrl(), dicomStoreName);
    URIBuilder uriBuilder = new URIBuilder(uri).setParameter("access_token", getAccessToken());
    // Load the data from file representing the study.
    File f = new File(filePath);
    byte[] dicomBytes = Files.readAllBytes(Paths.get(filePath));
    ByteArrayEntity requestEntity = new ByteArrayEntity(dicomBytes);

    HttpUriRequest request =
        RequestBuilder.post(uriBuilder.build())
            .setEntity(requestEntity)
            .addHeader("Content-Type", "application/dicom")
            .build();

    // Execute the request and process the results.
    HttpResponse response = httpClient.execute(request);
    HttpEntity responseEntity = response.getEntity();
    if (response.getStatusLine().getStatusCode() != HttpStatus.SC_OK) {
      System.err.print(
          String.format(
              "Exception storing DICOM instance: %s\n", response.getStatusLine().toString()));
      responseEntity.writeTo(System.err);
      throw new RuntimeException();
    }
    System.out.println("DICOM instance stored: ");
    responseEntity.writeTo(System.out);
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }

  private static String getAccessToken() throws IOException {
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    return credential.refreshAccessToken().getTokenValue();
  }
}

Node.js

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});
const fs = require('fs');

const dicomWebStoreInstance = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const dicomStoreId = 'my-dicom-store';
  // const dcmFile = 'file.dcm';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
  const dicomWebPath = 'studies';
  // Use a stream because other types of reads overwrite the client's HTTP
  // headers and cause storeInstances to fail.
  const binaryData = fs.createReadStream(dcmFile);
  const request = {
    parent,
    dicomWebPath,
    requestBody: binaryData,
  };

  const instance =
    await healthcare.projects.locations.datasets.dicomStores.storeInstances(
      request,
      {
        headers: {
          'Content-Type': 'application/dicom',
          Accept: 'application/dicom+json',
        },
      }
    );
  console.log('Stored DICOM instance:\n', JSON.stringify(instance.data));
};

dicomWebStoreInstance();

Python

def dicomweb_store_instance(project_id, location, dataset_id, dicom_store_id, dcm_file):
    """Handles the POST requests specified in the DICOMweb standard.

    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/dicom
    before running the sample."""
    # Imports Python's built-in "os" module
    import os

    # Imports the google.auth.transport.requests transport
    from google.auth.transport import requests

    # Imports a module to allow authentication using a service account
    from google.oauth2 import service_account

    # Gets credentials from the environment.
    credentials = service_account.Credentials.from_service_account_file(
        os.environ["GOOGLE_APPLICATION_CREDENTIALS"]
    )
    scoped_credentials = credentials.with_scopes(
        ["https://www.googleapis.com/auth/cloud-platform"]
    )
    # Creates a requests Session object with the credentials.
    session = requests.AuthorizedSession(scoped_credentials)

    # URL to the Cloud Healthcare API endpoint and version
    base_url = "https://healthcare.googleapis.com/v1"

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the parent dataset's ID
    # dicom_store_id = 'my-dicom-store' # replace with the DICOM store ID
    # dcm_file = 'dicom000_0001.dcm'  # replace with a DICOM file
    url = f"{base_url}/projects/{project_id}/locations/{location}"

    dicomweb_path = "{}/datasets/{}/dicomStores/{}/dicomWeb/studies".format(
        url, dataset_id, dicom_store_id
    )

    with open(dcm_file, "rb") as dcm:
        dcm_content = dcm.read()

    # Sets required "application/dicom" header on the request
    headers = {"Content-Type": "application/dicom"}

    response = session.post(dicomweb_path, data=dcm_content, headers=headers)
    response.raise_for_status()
    print("Stored DICOM instance:")
    print(response.text)
    return response

Visualiza los metadatos de la instancia de DICOM

Ejecuta los siguientes ejemplos para ver los metadatos de la instancia.

Antes de ejecutar las muestras, quita los comentarios y proporciona los siguientes valores si es necesario:

El ID del proyecto de Google Cloud que creaste o seleccionaste en la sección Antes de comenzar para el ID del proyecto
my-dataset para el ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-dicom-store para el ID del almacén de DICOM

Go

import (
	"context"
	"fmt"
	"io"
	"io/ioutil"

	healthcare "google.golang.org/api/healthcare/v1"
)

// dicomWebSearchInstances searches instances.
func dicomWebSearchInstances(w io.Writer, projectID, location, datasetID, dicomStoreID string) error {
	// projectID := "my-project"
	// location := "us-central1"
	// datasetID := "my-dataset"
	// dicomStoreID := "my-dicom-store"
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.DicomStores

	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)

	resp, err := storesService.SearchForInstances(parent, "instances").Do()
	if err != nil {
		return fmt.Errorf("SearchForInstances: %w", err)
	}

	defer resp.Body.Close()

	respBytes, err := ioutil.ReadAll(resp.Body)
	if err != nil {
		return fmt.Errorf("ioutil.ReadAll: %w", err)
	}

	if resp.StatusCode > 299 {
		return fmt.Errorf("SearchForInstances: status %d %s: %s", resp.StatusCode, resp.Status, respBytes)
	}

	respString := string(respBytes)
	fmt.Fprintf(w, "Found instances: %s\n", respString)
	return nil
}

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.HttpResponse;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.DicomStores;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

public class DicomWebSearchForInstances {
  private static final String DICOM_NAME = "projects/%s/locations/%s/datasets/%s/dicomStores/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void dicomWebSearchForInstances(String dicomStoreName) throws IOException {
    // String dicomStoreName =
    //    String.format(
    //        DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Create request and configure any parameters.
    DicomStores.SearchForInstances request =
        client
            .projects()
            .locations()
            .datasets()
            .dicomStores()
            .searchForInstances(dicomStoreName, "instances");

    // Execute the request and process the results.
    HttpResponse response = request.executeUnparsed();
    System.out.println("Dicom store instances found: \n" + response.toString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const dicomWebSearchForInstances = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const dicomStoreId = 'my-dicom-store';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
  const dicomWebPath = 'instances';
  const request = {parent, dicomWebPath};

  const instances =
    await healthcare.projects.locations.datasets.dicomStores.searchForInstances(
      request,
      {
        headers: {Accept: 'application/dicom+json,multipart/related'},
      }
    );
  console.log(`Found ${instances.data.length} instances:`);
  console.log(JSON.stringify(instances.data));
};

dicomWebSearchForInstances();

Python

def dicomweb_search_instance(project_id, location, dataset_id, dicom_store_id):
    """Handles the GET requests specified in DICOMweb standard.

    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/dicom
    before running the sample."""
    # Imports Python's built-in "os" module
    import os

    # Imports the google.auth.transport.requests transport
    from google.auth.transport import requests

    # Imports a module to allow authentication using a service account
    from google.oauth2 import service_account

    # Gets credentials from the environment.
    credentials = service_account.Credentials.from_service_account_file(
        os.environ["GOOGLE_APPLICATION_CREDENTIALS"]
    )
    scoped_credentials = credentials.with_scopes(
        ["https://www.googleapis.com/auth/cloud-platform"]
    )
    # Creates a requests Session object with the credentials.
    session = requests.AuthorizedSession(scoped_credentials)

    # URL to the Cloud Healthcare API endpoint and version
    base_url = "https://healthcare.googleapis.com/v1"

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the parent dataset's ID
    # dicom_store_id = 'my-dicom-store' # replace with the DICOM store ID
    url = f"{base_url}/projects/{project_id}/locations/{location}"

    dicomweb_path = "{}/datasets/{}/dicomStores/{}/dicomWeb/instances".format(
        url, dataset_id, dicom_store_id
    )

    # Sets required application/dicom+json; charset=utf-8 header on the request
    headers = {"Content-Type": "application/dicom+json; charset=utf-8"}

    response = session.get(dicomweb_path, headers=headers)
    response.raise_for_status()

    instances = response.json()

    print("Instances:")
    print(json.dumps(instances, indent=2))

    return instances

Después de almacenar y visualizar una instancia de DICOM en la API de Cloud Healthcare, continúa con la Limpieza para evitar que se apliquen cargos a tu cuenta de Google Cloud por los recursos usados en esta página.

Si deseas obtener más información para trabajar con datos de DICOM, consulta Próximos pasos.

Almacena y visualiza recursos de FHIR

En esta sección, se muestra cómo completar las siguientes tareas:

Crea un almacén de FHIR.
Almacena un recurso de FHIR en el almacén de FHIR.
Visualiza los datos de recursos de FHIR.

La API de Cloud Healthcare implementa el estándar de especificación de FHIR para almacenar y acceder a los datos de FHIR.

Crea una tienda de FHIR

Los almacenes de FHIR existen dentro de los conjuntos de datos y contienen recursos de FHIR. Ejecuta las siguientes muestras para crear un almacén de FHIR.

Antes de ejecutar las muestras, quita los comentarios y proporciona los siguientes valores si es necesario:

El ID del proyecto de Google Cloud que creaste o seleccionaste en la sección Antes de comenzar para el ID del proyecto
my-dataset para el ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-fhir-store para el ID del almacén de FHIR

Go

import (
	"context"
	"fmt"
	"io"

	healthcare "google.golang.org/api/healthcare/v1"
)

// createFHIRStore creates an FHIR store.
func createFHIRStore(w io.Writer, projectID, location, datasetID, fhirStoreID string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.FhirStores

	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s", projectID, location, datasetID)
	version := "R4"

	resp, err := storesService.Create(parent, &healthcare.FhirStore{Version: version}).FhirStoreId(fhirStoreID).Do()
	if err != nil {
		return fmt.Errorf("Create: %w", err)
	}

	fmt.Fprintf(w, "Created FHIR store: %q\n", resp.Name)
	return nil
}

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.FhirStores;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.FhirStore;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;

public class FhirStoreCreate {
  private static final String DATASET_NAME = "projects/%s/locations/%s/datasets/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void fhirStoreCreate(String datasetName, String fhirStoreId) throws IOException {
    // String datasetName =
    //     String.format(DATASET_NAME, "your-project-id", "your-region-id", "your-dataset-id");
    // String fhirStoreId = "your-fhir-id"

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Configure the FhirStore to be created.
    Map<String, String> labels = new HashMap<>();
    labels.put("key1", "value1");
    labels.put("key2", "value2");
    String version = "STU3";
    FhirStore content = new FhirStore().setLabels(labels).setVersion(version);

    // Create request and configure any parameters.
    FhirStores.Create request =
        client
            .projects()
            .locations()
            .datasets()
            .fhirStores()
            .create(datasetName, content)
            .setFhirStoreId(fhirStoreId);

    // Execute the request and process the results.
    FhirStore response = request.execute();
    System.out.println("FHIR store created: " + response.toPrettyString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const createFhirStore = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const fhirStoreId = 'my-fhir-store';
  // const version = 'STU3';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}`;
  const request = {
    parent,
    fhirStoreId,
    resource: {
      version,
    },
  };

  await healthcare.projects.locations.datasets.fhirStores.create(request);
  console.log(`Created FHIR store: ${fhirStoreId}`);
};

createFhirStore();

Python

def create_fhir_store(project_id, location, dataset_id, fhir_store_id, version):
    """Creates a new FHIR store within the parent dataset.

    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/fhir
    before running the sample."""
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the FHIR store's parent dataset ID
    # fhir_store_id = 'my-fhir-store'  # replace with the FHIR store's ID
    # version = 'R4'  # replace with the FHIR store version
    fhir_store_parent = "projects/{}/locations/{}/datasets/{}".format(
        project_id, location, dataset_id
    )

    body = {"version": version}

    request = (
        client.projects()
        .locations()
        .datasets()
        .fhirStores()
        .create(parent=fhir_store_parent, body=body, fhirStoreId=fhir_store_id)
    )

    response = request.execute()
    print(f"Created FHIR store: {fhir_store_id}")

    return response

Almacena un recurso de FHIR

Ejecuta las siguientes muestras para almacenar un recurso de paciente.

Antes de ejecutar las muestras, quita los comentarios y proporciona los siguientes valores si es necesario:

El ID del proyecto de Google Cloud que creaste o seleccionaste en la sección Antes de comenzar para el ID del proyecto
my-dataset para el ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-fhir-store para el ID del almacén de FHIR

Go

import (
	"bytes"
	"context"
	"encoding/json"
	"fmt"
	"io"
	"io/ioutil"

	healthcare "google.golang.org/api/healthcare/v1"
)

// createFHIRResource creates an FHIR resource.
func createFHIRResource(w io.Writer, projectID, location, datasetID, fhirStoreID, resourceType string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	fhirService := healthcareService.Projects.Locations.Datasets.FhirStores.Fhir

	payload := map[string]interface{}{
		"resourceType": resourceType,
		"language":     "FR",
	}
	jsonPayload, err := json.Marshal(payload)
	if err != nil {
		return fmt.Errorf("json.Encode: %w", err)
	}

	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/fhirStores/%s", projectID, location, datasetID, fhirStoreID)

	call := fhirService.Create(parent, resourceType, bytes.NewReader(jsonPayload))
	call.Header().Set("Content-Type", "application/fhir+json;charset=utf-8")
	resp, err := call.Do()
	if err != nil {
		return fmt.Errorf("Create: %w", err)
	}
	defer resp.Body.Close()

	respBytes, err := ioutil.ReadAll(resp.Body)
	if err != nil {
		return fmt.Errorf("could not read response: %w", err)
	}

	if resp.StatusCode > 299 {
		return fmt.Errorf("Create: status %d %s: %s", resp.StatusCode, resp.Status, respBytes)
	}
	fmt.Fprintf(w, "%s", respBytes)

	return nil
}

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.net.URISyntaxException;
import java.util.Collections;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.HttpStatus;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpUriRequest;
import org.apache.http.client.methods.RequestBuilder;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.client.HttpClients;

public class FhirResourceCreate {
  private static final String FHIR_NAME = "projects/%s/locations/%s/datasets/%s/fhirStores/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void fhirResourceCreate(String fhirStoreName, String resourceType)
      throws IOException, URISyntaxException {
    // String fhirStoreName =
    //    String.format(
    //        FHIR_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-fhir-id");
    // String resourceType = "Patient";

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();
    HttpClient httpClient = HttpClients.createDefault();
    String uri = String.format("%sv1/%s/fhir/%s", client.getRootUrl(), fhirStoreName, resourceType);
    URIBuilder uriBuilder = new URIBuilder(uri).setParameter("access_token", getAccessToken());
    StringEntity requestEntity =
        new StringEntity("{\"resourceType\": \"" + resourceType + "\", \"language\": \"en\"}");

    HttpUriRequest request =
        RequestBuilder.post()
            .setUri(uriBuilder.build())
            .setEntity(requestEntity)
            .addHeader("Content-Type", "application/fhir+json")
            .addHeader("Accept-Charset", "utf-8")
            .addHeader("Accept", "application/fhir+json; charset=utf-8")
            .build();

    // Execute the request and process the results.
    HttpResponse response = httpClient.execute(request);
    HttpEntity responseEntity = response.getEntity();
    if (response.getStatusLine().getStatusCode() != HttpStatus.SC_CREATED) {
      System.err.print(
          String.format(
              "Exception creating FHIR resource: %s\n", response.getStatusLine().toString()));
      responseEntity.writeTo(System.err);
      throw new RuntimeException();
    }
    System.out.print("FHIR resource created: ");
    responseEntity.writeTo(System.out);
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }

  private static String getAccessToken() throws IOException {
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    return credential.refreshAccessToken().getTokenValue();
  }
}

Node.js

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
  headers: {'Content-Type': 'application/fhir+json'},
});

async function createFhirResource() {
  // Replace the following body with the data for the resource you want to
  // create.
  const body = {
    name: [{use: 'official', family: 'Smith', given: ['Darcy']}],
    gender: 'female',
    birthDate: '1970-01-01',
    resourceType: 'Patient',
  };

  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const fhirStoreId = 'my-fhir-store';
  // const resourceType = 'Patient';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/fhirStores/${fhirStoreId}`;

  const request = {parent, type: resourceType, requestBody: body};
  const resource =
    await healthcare.projects.locations.datasets.fhirStores.fhir.create(
      request
    );
  console.log(`Created FHIR resource with ID ${resource.data.id}`);
  console.log(resource.data);
}

createFhirResource();

Python

# Imports the types Dict and Any for runtime type hints.
from typing import Any, Dict  # noqa: E402

def create_patient(
    project_id: str,
    location: str,
    dataset_id: str,
    fhir_store_id: str,
) -> Dict[str, Any]:
    """Creates a new Patient resource in a FHIR store.

    See
    https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/fhir
    before running the sample.
    See
    https://googleapis.github.io/google-api-python-client/docs/dyn/healthcare_v1.projects.locations.datasets.fhirStores.fhir.html#create
    for the Python API reference.

    Args:
      project_id: The project ID or project number of the Cloud project you want
        to use.
      location: The name of the parent dataset's location.
      dataset_id: The name of the parent dataset.
      fhir_store_id: The name of the FHIR store that holds the Patient resource.

    Returns:
      A dict representing the created Patient resource.
    """
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery

    api_version = "v1"
    service_name = "healthcare"

    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'
    # location = 'us-central1'
    # dataset_id = 'my-dataset'
    # fhir_store_id = 'my-fhir-store'
    fhir_store_parent = (
        f"projects/{project_id}/locations/{location}/datasets/{dataset_id}"
    )
    fhir_store_name = f"{fhir_store_parent}/fhirStores/{fhir_store_id}"

    patient_body = {
        "name": [{"use": "official", "family": "Smith", "given": ["Darcy"]}],
        "gender": "female",
        "birthDate": "1970-01-01",
        "resourceType": "Patient",
    }

    request = (
        client.projects()
        .locations()
        .datasets()
        .fhirStores()
        .fhir()
        .create(parent=fhir_store_name, type="Patient", body=patient_body)
    )
    # Sets required application/fhir+json header on the googleapiclient.http.HttpRequest.
    request.headers["content-type"] = "application/fhir+json;charset=utf-8"
    response = request.execute()

    print(f"Created Patient resource with ID {response['id']}")
    return response

Visualiza el contenido de los recursos de FHIR

Ejecuta las siguientes muestras para ver la información sobre el recurso Paciente.

Antes de ejecutar las muestras, quita los comentarios y proporciona los siguientes valores si es necesario:

El ID del proyecto de Google Cloud que creaste o seleccionaste en la sección Antes de comenzar para el ID del proyecto
my-dataset para el ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-fhir-store para el ID del almacén de FHIR
Patient para el tipo de recurso de FHIR

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.net.URISyntaxException;
import java.util.Collections;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.HttpStatus;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpUriRequest;
import org.apache.http.client.methods.RequestBuilder;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.client.HttpClients;

public class FhirResourceSearchGet {
  private static final String FHIR_NAME =
      "projects/%s/locations/%s/datasets/%s/fhirStores/%s/fhir/%s";
  // The endpoint URL for the Healthcare API. Required for HttpClient.
  private static final String API_ENDPOINT = "https://healthcare.googleapis.com";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void fhirResourceSearchGet(String resourceName)
      throws IOException, URISyntaxException {
    // String resourceName =
    //    String.format(
    //        FHIR_NAME, "project-id", "region-id", "dataset-id", "fhir-store-id");
    // String resourceType = "Patient";

    // Instantiate the client, which will be used to interact with the service.
    HttpClient httpClient = HttpClients.createDefault();
    String uri = String.format("%s/v1/%s", API_ENDPOINT, resourceName);
    URIBuilder uriBuilder = new URIBuilder(uri).setParameter("access_token", getAccessToken());
    // To set additional parameters for search filtering, add them to the URIBuilder. For
    // example, to search for a Patient with the family name "Smith", specify the following:
    // uriBuilder.setParameter("family:exact", "Smith");

    HttpUriRequest request =
        RequestBuilder.get()
            .setUri(uriBuilder.build())
            .build();

    // Execute the request and process the results.
    HttpResponse response = httpClient.execute(request);
    HttpEntity responseEntity = response.getEntity();
    if (response.getStatusLine().getStatusCode() != HttpStatus.SC_OK) {
      System.err.print(
          String.format(
              "Exception searching GET FHIR resources: %s\n", response.getStatusLine().toString()));
      responseEntity.writeTo(System.err);
      throw new RuntimeException();
    }
    System.out.println("FHIR resource GET search results: ");
    responseEntity.writeTo(System.out);
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));
    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };
    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }

  private static String getAccessToken() throws IOException {
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    return credential.refreshAccessToken().getTokenValue();
  }
}

Node.js

// Import google-auth-library for authentication.
const {GoogleAuth} = require('google-auth-library');

const searchFhirResourcesGet = async () => {
  const auth = new GoogleAuth({
    scopes: 'https://www.googleapis.com/auth/cloud-platform',
  });
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const fhirStoreId = 'my-fhir-store';
  // const resourceType = 'Patient';
  const url = `https://healthcare.googleapis.com/v1/projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/fhirStores/${fhirStoreId}/fhir/${resourceType}`;

  const params = {};
  // Specify search filters in a params object. For example, to filter on a
  // Patient with the last name "Smith", set resourceType to "Patient" and
  // specify the following params:
  // params = {'family:exact' : 'Smith'};
  const client = await auth.getClient();
  const response = await client.request({url, method: 'GET', params});
  const resources = response.data.entry;
  console.log(`Resources found: ${resources.length}`);
  console.log(JSON.stringify(resources, null, 2));
};

searchFhirResourcesGet();

Python

def search_resources_get(
    project_id,
    location,
    dataset_id,
    fhir_store_id,
    resource_type,
):
    """
    Uses the searchResources GET method to search for resources in the given FHIR store.

    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/fhir
    before running the sample."""
    # Imports Python's built-in "os" module
    import os

    # Imports the google.auth.transport.requests transport
    from google.auth.transport import requests

    # Imports a module to allow authentication using a service account
    from google.oauth2 import service_account

    # Gets credentials from the environment.
    credentials = service_account.Credentials.from_service_account_file(
        os.environ["GOOGLE_APPLICATION_CREDENTIALS"]
    )
    scoped_credentials = credentials.with_scopes(
        ["https://www.googleapis.com/auth/cloud-platform"]
    )
    # Creates a requests Session object with the credentials.
    session = requests.AuthorizedSession(scoped_credentials)

    # URL to the Cloud Healthcare API endpoint and version
    base_url = "https://healthcare.googleapis.com/v1"

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the parent dataset's ID
    # fhir_store_id = 'my-fhir-store' # replace with the FHIR store ID
    # resource_type = 'Patient'  # replace with the FHIR resource type
    url = f"{base_url}/projects/{project_id}/locations/{location}"

    resource_path = "{}/datasets/{}/fhirStores/{}/fhir/{}".format(
        url, dataset_id, fhir_store_id, resource_type
    )

    response = session.get(resource_path)
    response.raise_for_status()

    resources = response.json()

    print(
        "Using GET request, found a total of {} {} resources:".format(
            resources["total"], resource_type
        )
    )
    print(json.dumps(resources, indent=2))

    return resources

Después de almacenar y ver un recurso de FHIR en la API de Cloud Healthcare, ve a Realiza una limpieza para evitar que se generen cargos en tu cuenta de Google Cloud por los recursos que se usaron en esta página.

Si deseas obtener más información para trabajar con datos de FHIR, consulta Próximos pasos.

Almacena y visualiza un mensaje de HL7v2

En esta sección, se muestra cómo completar las siguientes tareas:

Crea una tienda de HL7v2
Almacena un mensaje de HL7v2 en el almacén de HL7v2.
Visualiza los datos del mensaje de HL7v2.

La implementación de HL7v2 en la API de Cloud Healthcare se alinea con el estándar HL7v2.

Crea una tienda de HL7v2

Los almacenes de HL7v2 existen dentro de los conjuntos de datos y contienen mensajes de HL7v2. Ejecuta los siguientes ejemplos para crear un almacén de HL7v2.

Antes de ejecutar las muestras, quita los comentarios y proporciona los siguientes valores si es necesario:

El ID del proyecto de Google Cloud que creaste o seleccionaste en la sección Antes de comenzar para el ID del proyecto
my-dataset para el ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-hl7v2-store para el ID del almacén de HL7v2

Go

import (
	"context"
	"fmt"
	"io"

	healthcare "google.golang.org/api/healthcare/v1"
)

// createHL7V2Store creates an HL7V2 store.
func createHL7V2Store(w io.Writer, projectID, location, datasetID, hl7V2StoreID string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.Hl7V2Stores

	// Set the HL7v2 store parser version to V3.
	store := &healthcare.Hl7V2Store{ParserConfig: &healthcare.ParserConfig{Version: "V3"}}
	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s", projectID, location, datasetID)

	resp, err := storesService.Create(parent, store).Hl7V2StoreId(hl7V2StoreID).Do()
	if err != nil {
		return fmt.Errorf("Create: %w", err)
	}

	fmt.Fprintf(w, "Created HL7V2 store: %q\n", resp.Name)
	return nil
}

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.Hl7V2Stores;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.Hl7V2Store;
import com.google.api.services.healthcare.v1.model.ParserConfig;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;

public class Hl7v2StoreCreate {
  private static final String DATASET_NAME = "projects/%s/locations/%s/datasets/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void hl7v2StoreCreate(String datasetName, String hl7v2StoreId) throws IOException {
    // String datasetName =
    // String.format(DATASET_NAME, "your-project-id", "your-region-id",
    // "your-dataset-id");
    // String hl7v2StoreId = "your-hl7v25-id"

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Configure the store to be created.
    Map<String, String> labels = new HashMap<>();
    labels.put("key1", "value1");
    labels.put("key2", "value2");
    Hl7V2Store content =
        new Hl7V2Store().setLabels(labels).setParserConfig(new ParserConfig().setVersion("V3"));

    // Create request and configure any parameters.
    Hl7V2Stores.Create request = client
        .projects()
        .locations()
        .datasets()
        .hl7V2Stores()
        .create(datasetName, content)
        .setHl7V2StoreId(hl7v2StoreId);

    // Execute the request and process the results.
    Hl7V2Store response = request.execute();
    System.out.println("Hl7V2Store store created: " + response.toPrettyString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see
    // https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential = GoogleCredentials.getApplicationDefault()
        .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration
    // to all requests.
    HttpRequestInitializer requestInitializer = request -> {
      new HttpCredentialsAdapter(credential).initialize(request);
      request.setConnectTimeout(60000); // 1 minute connect timeout
      request.setReadTimeout(60000); // 1 minute read timeout
    };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const createHl7v2Store = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const hl7v2StoreId = 'my-hl7v2-store';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}`;
  const request = {
    parent,
    hl7V2StoreId: hl7v2StoreId,
    resource: {
      parserConfig: {
        version: 'V3',
      },
    },
  };

  await healthcare.projects.locations.datasets.hl7V2Stores.create(request);
  console.log(`Created HL7v2 store: ${hl7v2StoreId}`);
};

createHl7v2Store();

Python

def create_hl7v2_store(project_id, location, dataset_id, hl7v2_store_id):
    """Creates a new HL7v2 store within the parent dataset.
    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/hl7v2
    before running the sample."""
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the HL7v2 store's parent dataset ID
    # hl7v2_store_id = 'my-hl7v2-store'  # replace with the HL7v2 store's ID
    hl7v2_store_parent = "projects/{}/locations/{}/datasets/{}".format(
        project_id, location, dataset_id
    )

    # Use the V3 parser. Immutable after HL7v2 store creation.
    body = {"parserConfig": {"version": "V3"}}

    request = (
        client.projects()
        .locations()
        .datasets()
        .hl7V2Stores()
        .create(parent=hl7v2_store_parent, body=body, hl7V2StoreId=hl7v2_store_id)
    )

    response = request.execute()
    print(f"Created HL7v2 store: {hl7v2_store_id}")
    return response

Crea un mensaje de HL7v2

Descarga el archivo de mensaje de HL7v2 de muestra en tu máquina:

curl

curl -O https://cloud.google.com/healthcare-api/docs/resources/hl7v2-sample.json

PowerShell

Invoke-WebRequest -Uri "https://cloud.google.com/healthcare-api/docs/resources/hl7v2-sample.json" -OutFile $pwd/hl7v2-sample.json

El mensaje de HL7v2 contiene la siguiente información básica, en la que está codificado en base64 en el campo data del archivo de muestra:

MSH|^~\&|A|SEND_FACILITY|A|A|20180101000000||TYPE^A|20180101000000|T|0.0|||AA||00|ASCII
EVN|A00|20180101040000
PID||14^111^^^^MRN|11111111^^^^MRN~1111111111^^^^ORGNMBR

Ejecuta las siguientes muestras para almacenar el mensaje de HL7v2. En las muestras, se supone que ejecutas el código desde el mismo directorio en el que descargaste el mensaje HL7v2.

Antes de ejecutar las muestras, quita los comentarios y proporciona los siguientes valores si es necesario:

El ID del proyecto de Google Cloud que creaste o seleccionaste en la sección Antes de comenzar para el ID del proyecto
my-dataset para el ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-hl7v2-store para el ID del almacén de HL7v2
hl7v2-sample.json para el nombre del archivo de mensajes de HL7v2

Go

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"
	"io/ioutil"

	healthcare "google.golang.org/api/healthcare/v1"
)

// ingestHL7V2Message ingests an HL7V2 message.
func ingestHL7V2Message(w io.Writer, projectID, location, datasetID, hl7V2StoreID, messageFile string) error {
	ctx := context.Background()

	hl7v2message, err := ioutil.ReadFile(messageFile)
	if err != nil {
		return fmt.Errorf("ReadFile: %w", err)
	}

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	messagesService := healthcareService.Projects.Locations.Datasets.Hl7V2Stores.Messages

	req := &healthcare.IngestMessageRequest{
		Message: &healthcare.Message{
			Data: base64.StdEncoding.EncodeToString(hl7v2message),
		},
	}
	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/hl7V2Stores/%s", projectID, location, datasetID, hl7V2StoreID)

	resp, err := messagesService.Ingest(parent, req).Do()
	if err != nil {
		return fmt.Errorf("Create: %w", err)
	}

	fmt.Fprintf(w, "Ingested HL7V2 message: %q\n", resp.Message.Name)
	return nil
}

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.Hl7V2Stores.Messages;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.IngestMessageRequest;
import com.google.api.services.healthcare.v1.model.IngestMessageResponse;
import com.google.api.services.healthcare.v1.model.Message;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.nio.charset.Charset;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.Collections;
import java.util.List;

@SuppressWarnings("checkstyle:AbbreviationAsWordInName")
public class HL7v2MessageIngest {
  private static final String HL7v2_NAME = "projects/%s/locations/%s/datasets/%s/hl7V2Stores/%s";
  private static final String MESSAGE_NAME =
      "projects/%s/locations/%s/datasets/%s/hl7V2Stores/%s/messages/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void hl7v2MessageIngest(String hl7v2StoreName, String filePath) throws IOException {
    // String hl7v2StoreName =
    //    String.format(
    //        HL7v2_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-hl7v2-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Load the data from file and format it into an ingest request.
    List<String> lines = Files.readAllLines(Paths.get(filePath), Charset.defaultCharset());
    String data = String.join("\n", lines);
    Message message = new Message().setData(data);
    IngestMessageRequest ingestRequest = new IngestMessageRequest().setMessage(message);

    // Create request and configure any parameters.
    Messages.Ingest request =
        client
            .projects()
            .locations()
            .datasets()
            .hl7V2Stores()
            .messages()
            .ingest(hl7v2StoreName, ingestRequest);

    // Execute the request and process the results.
    IngestMessageResponse response = request.execute();
    System.out.println("HL7v2 message ingested: " + response.toPrettyString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});
const fs = require('fs');
const util = require('util');
const readFile = util.promisify(fs.readFile);

const ingestHl7v2Message = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const hl7v2StoreId = 'my-hl7v2-store';
  // const hl7v2MessageFile = 'hl7v2-message.json';
  const hl7v2Message = JSON.parse(await readFile(hl7v2MessageFile));

  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/hl7V2Stores/${hl7v2StoreId}`;
  const request = {parent, resource: hl7v2Message};

  const response =
    await healthcare.projects.locations.datasets.hl7V2Stores.messages.ingest(
      request
    );
  const data = response.data.hl7Ack;
  const buff = new Buffer.from(data, 'base64');
  const hl7Ack = buff.toString('ascii');
  console.log('Ingested HL7v2 message with ACK:\n', hl7Ack);
};

ingestHl7v2Message();

Python

def ingest_hl7v2_message(
    project_id, location, dataset_id, hl7v2_store_id, hl7v2_message_file
):
    """Ingests a new HL7v2 message from the hospital and sends a notification
    to the Cloud Pub/Sub topic. Return is an HL7v2 ACK message if the message
    was successfully stored.

    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/hl7v2
    before running the sample."""
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery

    # Imports Python's built-in "json" module
    import json

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the HL7v2 store's parent dataset ID
    # hl7v2_store_id = 'my-hl7v2-store'  # replace with the HL7v2 store's ID
    # hl7v2_message_file = 'hl7v2-message.json'  # replace with the path to the HL7v2 file
    hl7v2_parent = f"projects/{project_id}/locations/{location}"
    hl7v2_store_name = "{}/datasets/{}/hl7V2Stores/{}".format(
        hl7v2_parent, dataset_id, hl7v2_store_id
    )

    with open(hl7v2_message_file) as hl7v2_message:
        hl7v2_message_content = json.load(hl7v2_message)

    request = (
        client.projects()
        .locations()
        .datasets()
        .hl7V2Stores()
        .messages()
        .ingest(parent=hl7v2_store_name, body=hl7v2_message_content)
    )

    response = request.execute()
    print(f"Ingested HL7v2 message from file: {hl7v2_message_file}")
    return response

El resultado contiene un ID de mensaje de HL7v2. Necesitarás este ID en la próxima sección.

Visualiza el contenido de los mensajes de HL7v2

Ejecuta los siguientes ejemplos para ver el contenido de los mensajes de HL7v2.

Antes de ejecutar las muestras, quita los comentarios y proporciona los siguientes valores si es necesario:

El ID del proyecto de Google Cloud que creaste o seleccionaste en la sección Antes de comenzar para el ID del proyecto
my-dataset para el ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-hl7v2-store para el ID del almacén de HL7v2
El ID en la respuesta cuando almacenaste el mensaje para el ID de mensaje de HL7v2

Go

import (
	"context"
	"encoding/base64"
	"encoding/json"
	"fmt"
	"io"

	healthcare "google.golang.org/api/healthcare/v1"
)

// getHL7V2Message gets an HL7V2 message.
func getHL7V2Message(w io.Writer, projectID, location, datasetID, hl7V2StoreID, hl7V2MessageID string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	messagesService := healthcareService.Projects.Locations.Datasets.Hl7V2Stores.Messages

	name := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/hl7V2Stores/%s/messages/%s", projectID, location, datasetID, hl7V2StoreID, hl7V2MessageID)
	message, err := messagesService.Get(name).Do()
	if err != nil {
		return fmt.Errorf("Get: %w", err)
	}

	rawData, err := base64.StdEncoding.DecodeString(message.Data)
	if err != nil {
		return fmt.Errorf("base64.DecodeString: %w", err)
	}

	fmt.Fprintf(w, "Got HL7V2 message.\n")
	fmt.Fprintf(w, "Raw length: %d.\n", len(rawData))
	fmt.Fprintf(w, "Parsed data:\n")
	parsedJSON, _ := json.MarshalIndent(message.ParsedData, "", "  ")
	fmt.Fprintf(w, "%s", parsedJSON)
	return nil
}

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.Hl7V2Stores.Messages;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.Message;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

@SuppressWarnings("checkstyle:AbbreviationAsWordInName")
public class HL7v2MessageGet {
  private static final String MESSAGE_NAME =
      "projects/%s/locations/%s/datasets/%s/hl7V2Stores/%s/messages/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void hl7v2MessageGet(String hl7v2MessageName) throws IOException {
    // String hl7v2MessageName =
    //    String.format(
    //        MESSAGE_NAME, "project-id", "region-id", "dataset-id", "hl7v2-id", "message-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Create request and configure any parameters.
    Messages.Get request =
        client.projects().locations().datasets().hl7V2Stores().messages().get(hl7v2MessageName);

    // Execute the request and process the results.
    Message store = request.execute();
    System.out.println("HL7v2 message retrieved: \n" + store.toPrettyString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const getHl7v2Message = async () => {
  // TODO(developer): uncomment the lines beginning with 'const' before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const hl7v2StoreId = 'my-hl7v2-store';
  // The value for hl7v2MessageId is the server-generated ID returned when you
  // created or ingested the HL7v2 message in an HL7v2 store.
  // const hl7v2MessageId = 'qCnewKno44gTt3oBn4dQ0u8ZA23ibDdV9GpifD2E=';
  const name = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/hl7V2Stores/${hl7v2StoreId}/messages/${hl7v2MessageId}`;
  // Use the 'FULL' enum to include all of the message fields in the response.
  const view = 'FULL';
  const request = {name, view};

  const hl7v2Message =
    await healthcare.projects.locations.datasets.hl7V2Stores.messages.get(
      request
    );
  console.log('Got HL7v2 message:\n', hl7v2Message.data);
};

getHl7v2Message();

Python

def get_hl7v2_message(
    project_id, location, dataset_id, hl7v2_store_id, hl7v2_message_id
):
    """Gets an HL7v2 message.

    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/hl7v2
    before running the sample."""
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the HL7v2 store's parent dataset ID
    # hl7v2_store_id = 'my-hl7v2-store'  # replace with the HL7v2 store's ID
    # hl7v2_message_id = '2yqbdhYHlk_ucSmWkcKOVm_N0p0OpBXgIlVG18rB-cw='  # replace with the HL7v2 message ID that was returned by the server
    hl7v2_parent = f"projects/{project_id}/locations/{location}"
    hl7v2_message_name = "{}/datasets/{}/hl7V2Stores/{}/messages/{}".format(
        hl7v2_parent, dataset_id, hl7v2_store_id, hl7v2_message_id
    )

    msgs = client.projects().locations().datasets().hl7V2Stores().messages()
    message = msgs.get(name=hl7v2_message_name).execute()

    print("Name: {}".format(message.get("name")))
    print("Data: {}".format(message.get("data")))
    print("Creation time: {}".format(message.get("createTime")))
    print("Sending facility: {}".format(message.get("sendFacility")))
    print("Time sent: {}".format(message.get("sendTime")))
    print("Message type: {}".format(message.get("messageType")))
    print("Patient IDs:")
    patient_ids = message.get("patientIds")
    for patient_id in patient_ids:
        print("\tPatient value: {}".format(patient_id.get("value")))
        print("\tPatient type: {}".format(patient_id.get("type")))
    print("Labels: {}".format(message.get("labels")))

    print(message)
    return message

Después de almacenar y ver un mensaje de HL7v2 en la API de Cloud Healthcare, continúa con Realiza una limpieza para evitar que se apliquen cargos a tu cuenta de Google Cloud por los recursos usados en esta página.

Si deseas obtener más información para trabajar con datos de HL7v2, consulta Próximos pasos.

Limpia

Para evitar que se apliquen cargos a tu cuenta de Google Cloud por los recursos que se usaron en esta página, borra el proyecto de Cloud que tiene los recursos.

Si creaste un proyecto nuevo para esta guía de inicio rápido, sigue los pasos en Borra el proyecto. De lo contrario, sigue los pasos en Borra el conjunto de datos.

Opcional: Revoca las credenciales de autenticación que creaste y borra el archivo local de credenciales.
```
gcloud auth application-default revoke
```

Opcional: Revoca credenciales desde gcloud CLI.
```
gcloud auth revoke
```

Borra el proyecto

Precaución: Borrar un proyecto tiene estas consecuencias:

Se borra todo en el proyecto. Si usaste un proyecto existente para las tareas de este documento, cuando lo borres, también se borrará cualquier otro trabajo que hayas realizado en el proyecto.
Se pierden los ID personalizados de proyectos. Cuando creaste este proyecto, es posible que hayas creado un ID del proyecto personalizado que desees utilizar en el futuro. Para conservar las URL que utilizan el ID del proyecto, como una URL appspot.com, borra los recursos seleccionados dentro del proyecto en lugar de borrar todo el proyecto.

Si planeas explorar varias infraestructuras, instructivos y guías de inicio rápido la reutilización de proyectos puede ayudarte a evitar exceder los límites de las cuotas del proyecto.

Borra un proyecto de Google Cloud:

gcloud projects delete PROJECT_ID

Borra el conjunto de datos

Si ya no necesitas el conjunto de datos que creaste en esta guía de inicio rápido, puedes borrarlo. Si borras un conjunto de datos, se borrará de forma permanente, junto con todas los almacenes de FHIR, HL7v2 o DICOM que contenga.

Antes de ejecutar las muestras, quita los comentarios y proporciona los siguientes valores si es necesario:

El ID del proyecto de Google Cloud que creaste o seleccionaste en la sección Antes de comenzar para el ID del proyecto
my-dataset para el ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos

Go

import (
	"context"
	"fmt"
	"io"

	healthcare "google.golang.org/api/healthcare/v1"
)

// deleteDataset deletes the given dataset.
func deleteDataset(w io.Writer, projectID, location, datasetID string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	datasetsService := healthcareService.Projects.Locations.Datasets

	name := fmt.Sprintf("projects/%s/locations/%s/datasets/%s", projectID, location, datasetID)
	if _, err := datasetsService.Delete(name).Do(); err != nil {
		return fmt.Errorf("Delete: %w", err)
	}

	fmt.Fprintf(w, "Deleted dataset: %q\n", name)
	return nil
}

Java

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

public class DatasetDelete {
  private static final String DATASET_NAME = "projects/%s/locations/%s/datasets/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void datasetDelete(String datasetName) throws IOException {
    // String datasetName =
    //     String.format(DATASET_NAME, "your-project-id", "your-region-id", "your-dataset-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Create request and configure any parameters.
    Datasets.Delete request = client.projects().locations().datasets().delete(datasetName);

    // Execute the request and process the results.
    request.execute();
    System.out.println("Dataset deleted.");
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const deleteDataset = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}`;
  const request = {name: parent};

  await healthcare.projects.locations.datasets.delete(request);
  console.log(`Deleted dataset: ${datasetId}`);
};

deleteDataset();

Python

def delete_dataset(project_id: str, location: str, dataset_id: str) -> None:
    """Deletes a dataset.

    See
    https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/datasets
    before running the sample.
    See https://googleapis.github.io/google-api-python-client/docs/dyn/healthcare_v1.projects.locations.datasets.html#delete
    for the Python API reference.

    Args:
      project_id: The project ID or project number of the Google Cloud project you want
          to use.
      location: The name of the dataset's location.
      dataset_id: The name of the dataset to delete.

    Returns:
      An empty response body.
    """
    # Imports HttpError from the Google Python API client errors module.
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery
    from googleapiclient.errors import HttpError

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'
    # location = 'us-central1'
    # dataset_id = 'my-dataset'
    dataset_name = f"projects/{project_id}/locations/{location}/datasets/{dataset_id}"

    request = client.projects().locations().datasets().delete(name=dataset_name)

    try:
        request.execute()
        print(f"Deleted dataset: {dataset_id}")
    except HttpError as err:
        raise err

¿Cómo fue?

¿Qué sigue?

Consulta las siguientes secciones para obtener información general sobre la API de Cloud Healthcare y cómo realizar las tareas de esta guía de inicio rápido con otra interfaz:

DICOM

Consulta la declaración de conformidad de DICOM si deseas obtener información sobre cómo la API de Cloud Healthcare implementa el estándar DICOMweb.

FHIR

Consulta la declaración de conformidad de FHIR si deseas obtener información sobre cómo la API de Cloud Healthcare implementa el estándar FHIR.