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Almacenar datos sanitarios con bibliotecas de cliente

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

Crea un conjunto de datos de la API Cloud Healthcare.
Crea uno de los siguientes almacenes de datos en el conjunto de datos:

Almacén Digital Imaging and Communications in Medicine (DICOM)
Almacén Fast Healthcare Interoperability Resources (FHIR)
Almacén Health Level Seven International Version 2 (HL7v2)

Almacena e inspecciona un tipo concreto 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 de las secciones Antes de empezar y Crear un conjunto de datos.

Antes de empezar

Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.

Install the Google Cloud CLI.

Si utilizas un proveedor de identidades (IdP) externo, primero debes iniciar sesión en la CLI de gcloud con tu identidad federada.

Para inicializar gcloud CLI, ejecuta el siguiente comando:

gcloud init

Create or select a Google Cloud project.

Roles required to select or create a project

Select a project: Selecting a project doesn't require a specific IAM role—you can select any project that you've been granted a role on.
Create a project: To create a project, you need the Project Creator (roles/resourcemanager.projectCreator), which contains the resourcemanager.projects.create permission. Learn how to grant roles.

Create a Google Cloud project:
```
gcloud projects create PROJECT_ID
```
Replace PROJECT_ID with a name for the Google Cloud project you are creating.
Select the Google Cloud project that you created:
```
gcloud config set project PROJECT_ID
```
Replace PROJECT_ID with your Google Cloud project name.

Verify that billing is enabled for your Google Cloud project.

Enable the Cloud Healthcare API:

Roles required to enable APIs

To enable APIs, you need the Service Usage Admin IAM role (roles/serviceusage.serviceUsageAdmin), which contains the serviceusage.services.enable permission. Learn how to grant roles.

gcloud services enable healthcare.googleapis.com

Create local authentication credentials for your user account:

gcloud auth application-default login

If an authentication error is returned, and you are using an external identity provider (IdP), confirm that you have signed in to the gcloud CLI with your federated identity.

Grant roles to your user account. Run the following command once for each of the following IAM roles: roles/healthcare.datasetAdmin, roles/healthcare.fhirStoreAdmin, roles/healthcare.dicomStoreAdmin, roles/healthcare.hl7V2StoreAdmin

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

Replace the following:

PROJECT_ID: your project ID.
USER_IDENTIFIER: the identifier for your user account—for example, myemail@example.com.
ROLE: the IAM role that you grant to your user account.

Install the Google Cloud CLI.

Si utilizas un proveedor de identidades (IdP) externo, primero debes iniciar sesión en la CLI de gcloud con tu identidad federada.

Para inicializar gcloud CLI, ejecuta el siguiente comando:

gcloud init

Create or select a Google Cloud project.

Roles required to select or create a project

Select a project: Selecting a project doesn't require a specific IAM role—you can select any project that you've been granted a role on.
Create a project: To create a project, you need the Project Creator (roles/resourcemanager.projectCreator), which contains the resourcemanager.projects.create permission. Learn how to grant roles.

Create a Google Cloud project:
```
gcloud projects create PROJECT_ID
```
Replace PROJECT_ID with a name for the Google Cloud project you are creating.
Select the Google Cloud project that you created:
```
gcloud config set project PROJECT_ID
```
Replace PROJECT_ID with your Google Cloud project name.

Verify that billing is enabled for your Google Cloud project.

Enable the Cloud Healthcare API:

Roles required to enable APIs

To enable APIs, you need the Service Usage Admin IAM role (roles/serviceusage.serviceUsageAdmin), which contains the serviceusage.services.enable permission. Learn how to grant roles.

gcloud services enable healthcare.googleapis.com

Create local authentication credentials for your user account:

gcloud auth application-default login

If an authentication error is returned, and you are using an external identity provider (IdP), confirm that you have signed in to the gcloud CLI with your federated identity.

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

Replace the following:

PROJECT_ID: your project ID.
USER_IDENTIFIER: the identifier for your user account—for example, myemail@example.com.
ROLE: the IAM role that you grant to your user account.

Instalar las bibliotecas de cliente

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

Go

Para obtener información sobre cómo configurar un entorno de desarrollo de Go, consulta el artículo Configurar un entorno de desarrollo de Go.

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

Java

Para obtener información sobre cómo configurar un entorno de desarrollo de Java, consulta el artículo Configurar un entorno de desarrollo de Java.

Si usas Maven, añade lo siguiente a tu archivo pom.xml con la versión del archivo https://github.com/GoogleCloudPlatform/java-docs-samples/blob/main/healthcare/v1/pom.xml.

Por ejemplo, en la siguiente configuración, sustituya VERSION por la versión del archivo:

<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>
    <version>VERSION</version>
  </dependency>

</dependencies>

Node.js

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

Crear conjunto de datos

Los conjuntos de datos contienen almacenes de datos, y estos, a su vez, contienen datos sanitarios. Para utilizar la API Cloud Healthcare, antes debes crear al menos un conjunto de datos.

Ejecuta el siguiente ejemplo para crear un conjunto de datos. Usará este conjunto de datos a lo largo de esta guía de inicio rápido.

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

El ID del proyecto de Google Cloud que has creado o seleccionado en Antes de empezar
my-dataset del ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos

Go

Antes de probar este ejemplo, sigue las Go instrucciones de configuración de la guía de inicio rápido de la API Cloud Healthcare con bibliotecas de cliente. Para obtener más información, consulta la documentación de referencia de la API Go de Cloud Healthcare.

Para autenticarte en la API Cloud Healthcare, configura las credenciales predeterminadas de la aplicación. Para obtener más información, consulta el artículo Configurar la autenticación en 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 este ejemplo, sigue las Java instrucciones de configuración de la guía de inicio rápido de la API Cloud Healthcare con bibliotecas de cliente. Para obtener más información, consulta la documentación de referencia de la API 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 este ejemplo, sigue las Node.js instrucciones de configuración de la guía de inicio rápido de la API Cloud Healthcare con bibliotecas de cliente. Para obtener más información, consulta la documentación de referencia de la API 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 este ejemplo, sigue las Python instrucciones de configuración de la guía de inicio rápido de la API Cloud Healthcare con bibliotecas de cliente. Para obtener más información, consulta la documentación de referencia de la API 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:

Almacenar y ver una instancia DICOM
Almacenar y ver recursos FHIR
Almacenar y ver un mensaje HL7v2

Almacenar y ver una instancia DICOM

En esta sección se explica cómo completar las siguientes tareas:

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

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

Crear un almacén DICOM

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

Los almacenes DICOM están dentro de conjuntos de datos y contienen instancias DICOM. Ejecuta los siguientes ejemplos para crear un almacén DICOM.

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

El ID del proyecto de Google Cloud que has creado o seleccionado en Antes de empezar
my-dataset del ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-dicom-store para el ID del almacén 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

Almacenar una instancia DICOM

Descarga el archivo de instancia DICOM de ejemplo en tu máquina. El archivo contiene una radiografía de un paciente cuya identidad se ha anonimizado.

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 los siguientes ejemplos para almacenar la instancia DICOM. En los ejemplos se da por hecho que ejecutas el código desde el mismo directorio en el que has descargado la instancia DICOM.

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

El ID del proyecto de Google Cloud que has creado o seleccionado en Antes de empezar
my-dataset del ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-dicom-store para el ID del almacén DICOM
dicom_00000001_000.dcm para el nombre del archivo DICOM

Go

import (
	"bytes"
	"context"
	"fmt"
	"io"
	"os"

	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 := os.ReadFile(dicomFile)
	if err != nil {
		return fmt.Errorf("os.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 := io.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 the google.auth.transport.requests transport
    from google.auth.transport import requests

    # Imports a module to allow authentication using Application Default Credentials (ADC)
    import google.auth

    # Gets credentials from the environment. google.auth.default() returns credentials and the
    # associated project ID, but in this sample, the project ID is passed in manually.
    credentials, _ = google.auth.default()

    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

Ver metadatos de instancias DICOM

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

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

El ID del proyecto de Google Cloud que has creado o seleccionado en Antes de empezar
my-dataset del ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-dicom-store para el ID del almacén DICOM

Go

import (
	"context"
	"fmt"
	"io"

	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 := io.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 the google.auth.transport.requests transport
    from google.auth.transport import requests

    # Imports a module to allow authentication using Application Default Credentials (ADC)
    import google.auth

    # Gets credentials from the environment. google.auth.default() returns credentials and the
    # associated project ID, but in this sample, the project ID is passed in manually.
    credentials, _ = google.auth.default()

    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 ver una instancia DICOM en la API Cloud Healthcare, ve a la sección Limpiar para evitar que se te cobren los recursos utilizados en esta página en tu Google Cloud cuenta.

Para obtener más información sobre cómo trabajar con datos DICOM, consulta la sección Pasos siguientes.

Almacenar y ver recursos FHIR

En esta sección se explica cómo completar las siguientes tareas:

Crea un almacén FHIR.
Almacena un recurso FHIR en el almacén FHIR.
Consulta los datos del recurso FHIR.

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

Crear un almacén FHIR

Los almacenes FHIR están dentro de conjuntos de datos y contienen recursos FHIR. Ejecuta los siguientes ejemplos para crear un almacén FHIR.

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

El ID del proyecto de Google Cloud que has creado o seleccionado en Antes de empezar
my-dataset del ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-fhir-store para el ID del almacén 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

Almacenar un recurso FHIR

Ejecuta los siguientes ejemplos para almacenar un recurso Patient.

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

El ID del proyecto de Google Cloud que has creado o seleccionado en Antes de empezar
my-dataset del ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-fhir-store para el ID del almacén FHIR

Go

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

	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 := io.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

Ver el contenido de los recursos FHIR

Ejecuta los siguientes ejemplos para ver información sobre el recurso Patient.

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

El ID del proyecto de Google Cloud que has creado o seleccionado en Antes de empezar
my-dataset del ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-fhir-store para el ID del almacén FHIR
Patient del tipo de recurso 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 FHIR en la API Cloud Healthcare, ve a la sección Limpiar para evitar que se te cobren los recursos utilizados en esta página en tu cuenta Google Cloud .

Para obtener más información sobre cómo trabajar con datos de FHIR, consulta la sección Pasos siguientes.

Almacenar y ver un mensaje HL7v2

En esta sección se explica cómo completar las siguientes tareas:

Crea un almacén HL7v2.
Almacena un mensaje HL7v2 en el almacén HL7v2.
Ver los datos del mensaje HL7v2.

La implementación de HL7 v. 2 en la API Cloud Healthcare se ajusta al estándar HL7 v. 2.

Crear un almacén HL7v2

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

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

El ID del proyecto de Google Cloud que has creado o seleccionado en Antes de empezar
my-dataset del ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-hl7v2-store del ID del almacén 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

Crear un mensaje HL7v2

Descarga el archivo de mensaje HL7v2 de ejemplo 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 HL7v2 contiene la siguiente información básica, que está codificada en base64 en el campo data del archivo de ejemplo:

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 los siguientes ejemplos para almacenar el mensaje HL7v2. En los ejemplos se da por hecho que ejecutas el código desde el mismo directorio en el que has descargado el mensaje HL7v2.

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

El ID del proyecto de Google Cloud que has creado o seleccionado en Antes de empezar
my-dataset del ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-hl7v2-store del ID del almacén HL7v2
hl7v2-sample.json para el nombre del archivo de mensaje HL7v2

Go

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

	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 := os.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 HL7v2. Necesitará este ID en la siguiente sección.

Ver el contenido de mensajes HL7v2

Ejecuta los siguientes ejemplos para ver el contenido del mensaje HL7v2.

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

El ID del proyecto de Google Cloud que has creado o seleccionado en Antes de empezar
my-dataset del ID del conjunto de datos
us-central1 para la ubicación del conjunto de datos
my-hl7v2-store del ID del almacén HL7v2
El ID de la respuesta cuando almacenaste el mensaje para el ID del mensaje 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 HL7v2 en la API Cloud Healthcare, ve a la sección Limpiar para evitar que se te cobren los recursos utilizados en esta página en tu Google Cloud cuenta.

Para obtener más información sobre cómo trabajar con datos de HL7v2, consulta la sección Pasos siguientes.

Limpieza

Para evitar que se apliquen cargos en tu Google Cloud cuenta por los recursos utilizados en esta página, elimina el Google Cloud proyecto con los recursos.

Si has creado un proyecto para esta guía de inicio rápido, sigue los pasos que se indican en la sección Eliminar el proyecto. De lo contrario, sigue los pasos que se indican en Eliminar el conjunto de datos.

Optional: Revoke the authentication credentials that you created, and delete the local credential file.
```
gcloud auth application-default revoke
```
Optional: Revoke credentials from the gcloud CLI.
```
gcloud auth revoke
```

Eliminar el proyecto

Precaución: Eliminar un proyecto tiene los siguientes efectos:

Se elimina todo el contenido del proyecto. Si has usado un proyecto que ya existía para las tareas de este documento, cuando lo elimines, también se eliminará cualquier otro trabajo que hayas realizado en él.
Se pierden los IDs de proyecto personalizados. Cuando creaste este proyecto, es posible que hayas creado un ID de proyecto personalizado que quieras usar en el futuro. Para conservar las URLs que usan el ID del proyecto, como una URL appspot.com, elimina los recursos seleccionados dentro del proyecto en lugar de eliminar todo el proyecto.

Si tienes previsto consultar varias arquitecturas, tutoriales o guías de inicio rápido, reutilizar los proyectos puede ayudarte a no superar los límites de cuota de proyectos.

Delete a Google Cloud project:

gcloud projects delete PROJECT_ID

Eliminar el conjunto de datos

Si ya no necesitas el conjunto de datos creado en esta guía de inicio rápido, puedes eliminarlo. Si eliminas un conjunto de datos, se eliminará de forma permanente, así como los almacenes FHIR, HL7v2 o DICOM que contenga.

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

El ID del proyecto de Google Cloud que has creado o seleccionado en Antes de empezar
my-dataset del 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 ha ido?

Siguientes pasos

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

DICOM

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

FHIR

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