Gesundheitsdaten mit Clientbibliotheken speichern

Auf dieser Seite wird beschrieben, wie Sie mit der Cloud Healthcare API und den Google API-Clientbibliotheken die folgenden Aufgaben ausführen:

ein Cloud Healthcare API-Dataset erstellen
Erstellen Sie einen der folgenden Datenspeicher im Dataset:

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

Bestimmte Arten von medizinischen Daten im DICOM-, FHIR- oder HL7v2-Speicher speichern und prüfen

Wenn Sie nur mit einem Datenspeichertyp arbeiten möchten, können Sie nach Abschluss der Schritte unter Vorbereitung und Dataset erstellen direkt zu diesem Abschnitt der Kurzanleitung springen.

Hinweise

Melden Sie sich bei Ihrem Google Cloud-Konto an. Wenn Sie mit Google Cloud noch nicht vertraut sind, erstellen Sie ein Konto, um die Leistungsfähigkeit unserer Produkte in der Praxis sehen und bewerten zu können. Neukunden erhalten außerdem ein Guthaben von 300 $, um Arbeitslasten auszuführen, zu testen und bereitzustellen.

Installieren Sie die Google Cloud CLI.

Führen Sie folgenden Befehl aus, um die gcloud CLI zu initialisieren:

gcloud init

Google Cloud-Projekt erstellen oder auswählen.

Erstellen Sie ein Google Cloud-Projekt:
```
gcloud projects create PROJECT_ID
```
Ersetzen Sie PROJECT_ID durch einen Namen für das Google Cloud-Projekt, das Sie erstellen.
Wählen Sie das von Ihnen erstellte Google Cloud-Projekt aus:
```
gcloud config set project PROJECT_ID
```
Ersetzen Sie PROJECT_ID durch den Namen Ihres Google Cloud-Projekts.

Die Abrechnung für das Google Cloud-Projekt muss aktiviert sein.

Aktivieren Sie die Cloud Healthcare API:

gcloud services enable healthcare.googleapis.com

Erstellen Sie lokale Anmeldedaten zur Authentifizierung für Ihr Google-Konto:

gcloud auth application-default login

Gewähren Sie Ihrem Google-Konto Rollen. Führen Sie den folgenden Befehl für jede der folgenden IAM-Rollen einmal aus: roles/healthcare.datasetAdmin, roles/healthcare.fhirStoreAdmin, roles/healthcare.dicomStoreAdmin, roles/healthcare.hl7V2StoreAdmin

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

Ersetzen Sie PROJECT_ID durch Ihre Projekt-ID.
Ersetzen Sie EMAIL_ADDRESS durch Ihre E-Mail-Adresse.
Ersetzen Sie ROLE durch jede einzelne Rolle.

Installieren Sie die Google Cloud CLI.

Führen Sie folgenden Befehl aus, um die gcloud CLI zu initialisieren:

gcloud init

Google Cloud-Projekt erstellen oder auswählen.

Erstellen Sie ein Google Cloud-Projekt:
```
gcloud projects create PROJECT_ID
```
Ersetzen Sie PROJECT_ID durch einen Namen für das Google Cloud-Projekt, das Sie erstellen.
Wählen Sie das von Ihnen erstellte Google Cloud-Projekt aus:
```
gcloud config set project PROJECT_ID
```
Ersetzen Sie PROJECT_ID durch den Namen Ihres Google Cloud-Projekts.

Die Abrechnung für das Google Cloud-Projekt muss aktiviert sein.

Aktivieren Sie die Cloud Healthcare API:

gcloud services enable healthcare.googleapis.com

Erstellen Sie lokale Anmeldedaten zur Authentifizierung für Ihr Google-Konto:

gcloud auth application-default login

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

Ersetzen Sie PROJECT_ID durch Ihre Projekt-ID.
Ersetzen Sie EMAIL_ADDRESS durch Ihre E-Mail-Adresse.
Ersetzen Sie ROLE durch jede einzelne Rolle.

Clientbibliotheken installieren

Die folgenden Beispiele zeigen, wie die Google API-Clientbibliotheken installiert werden:

Go

Informationen zum Konfigurieren einer Go-Entwicklungsumgebung finden Sie unter Go-Entwicklungsumgebung einrichten.

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

Java

Informationen zum Konfigurieren einer Java-Entwicklungsumgebung finden Sie unter Java-Entwicklungsumgebung einrichten.

Wenn Sie Maven verwenden, fügen Sie der Datei pom.xml Folgendes hinzu. Verwenden Sie dazu eine Version aus der Materialliste der Google Cloud Libraries (BOM). Weitere Informationen zu BOMs finden Sie unter Cloud-Clientbibliotheken verwenden.

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

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

</dependencies>

Node.js

Informationen zum Konfigurieren einer Node.js-Entwicklungsumgebung finden Sie unter Node.js-Entwicklungsumgebung einrichten.

npm install @googleapis/healthcare

Python

Informationen zum Konfigurieren einer Python-Entwicklungsumgebung finden Sie unter Python-Entwicklungsumgebung einrichten.

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

Dataset erstellen

Datasets enthalten Datenspeicher und Datenspeicher enthalten medizinische Daten. Um die Cloud Healthcare API verwenden zu können, müssen Sie mindestens ein Dataset erstellen.

Führen Sie das folgende Beispiel aus, um ein Dataset zu erstellen. Sie verwenden dieses Dataset in dieser Kurzanleitung.

Entfernen Sie vor dem Ausführen der Stichproben die Kommentarzeichen und geben Sie bei Bedarf die folgenden Werte an:

ID des Google Cloud-Projekts, das Sie unter Vorbereitung als Projekt-ID erstellt oder ausgewählt haben
my-dataset für die Dataset-ID
us-central1 für den Dataset-Standort

Go

Folgen Sie der Einrichtungsanleitung für Go in der Cloud Healthcare API-Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel ausprobieren. Weitere Informationen finden Sie in der Go API-Referenzdokumentation zur Cloud Healthcare API.

Richten Sie Standardanmeldedaten für Anwendungen ein, um sich bei der Cloud Healthcare API zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.

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

Folgen Sie der Einrichtungsanleitung für Java in der Cloud Healthcare API-Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel ausprobieren. Weitere Informationen finden Sie in der Java API-Referenzdokumentation zur Cloud Healthcare API.

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

Folgen Sie der Einrichtungsanleitung für Node.js in der Cloud Healthcare API-Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel ausprobieren. Weitere Informationen finden Sie in der Node.js API-Referenzdokumentation zur Cloud Healthcare API.

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

Folgen Sie der Einrichtungsanleitung für Python in der Cloud Healthcare API-Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel ausprobieren. Weitere Informationen finden Sie in der Python API-Referenzdokumentation zur Cloud Healthcare API.

# 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

Wählen Sie einen der folgenden Abschnitte aus, um diese Kurzanleitung abzuschließen:

DICOM-Instanz speichern und ansehen
FHIR-Ressourcen speichern und ansehen
HL7v2-Nachricht speichern und ansehen

DICOM-Instanz speichern und ansehen

In diesem Abschnitt wird beschrieben, wie Sie die folgenden Aufgaben ausführen:

DICOM-Speicher erstellen
DICOM-Instanz im DICOM-Speicher speichern
Metadaten der DICOM-Instanz aufrufen

Die Cloud Healthcare API implementiert den DICOMweb-Standard zum Speichern und Abrufen von medizinischen Bilddaten.

DICOM-Speicher erstellen

Entfernen Sie vor dem Ausführen der Stichproben die Kommentarzeichen und geben Sie bei Bedarf die folgenden Werte an:

DICOM-Speicher sind in Datasets vorhanden und enthalten DICOM-Instanzen. Führen Sie die folgenden Beispiele aus, um einen DICOM-Speicher zu erstellen.

Entfernen Sie vor dem Ausführen der Stichproben die Kommentarzeichen und geben Sie bei Bedarf die folgenden Werte an:

ID des Google Cloud-Projekts, das Sie unter Vorbereitung als Projekt-ID erstellt oder ausgewählt haben
my-dataset für die Dataset-ID
us-central1 für den Dataset-Standort
my-dicom-store für die DICOM-Speicher-ID

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

DICOM-Instanz speichern

Laden Sie die Beispiel-DICOM-Instanzdatei auf Ihren Rechner herunter. Die Datei enthält eine de-identifizierte Röntgenaufnahme eines Patienten.

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

Führen Sie die folgenden Beispiele aus, um die DICOM-Instanz zu speichern. Bei den Beispielen wird davon ausgegangen, dass Sie den Code in demselben Verzeichnis ausführen, in das Sie die DICOM-Instanz heruntergeladen haben.

Entfernen Sie vor dem Ausführen der Stichproben die Kommentarzeichen und geben Sie bei Bedarf die folgenden Werte an:

ID des Google Cloud-Projekts, das Sie unter Vorbereitung als Projekt-ID erstellt oder ausgewählt haben
my-dataset für die Dataset-ID
us-central1 für den Dataset-Standort
my-dicom-store für die DICOM-Speicher-ID
dicom_00000001_000.dcm für den DICOM-Dateinamen

Go

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

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

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

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

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

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

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

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

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

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

Java

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

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

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

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

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

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

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

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

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

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

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

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

Node.js

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

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

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

dicomWebStoreInstance();

Python

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

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

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

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

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

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

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

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

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

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

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

Metadaten der DICOM-Instanz ansehen

Führen Sie die folgenden Beispiele aus, um die Instanzmetadaten anzusehen.

Entfernen Sie vor dem Ausführen der Stichproben die Kommentarzeichen und geben Sie bei Bedarf die folgenden Werte an:

ID des Google Cloud-Projekts, das Sie unter Vorbereitung als Projekt-ID erstellt oder ausgewählt haben
my-dataset für die Dataset-ID
us-central1 für den Dataset-Standort
my-dicom-store für die DICOM-Speicher-ID

Go

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

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

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

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

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

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

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

	defer resp.Body.Close()

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

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

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

Java

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

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

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

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

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

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

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

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

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

Node.js

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

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

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

dicomWebSearchForInstances();

Python

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

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

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

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

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

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

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

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

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

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

    instances = response.json()

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

    return instances

Nachdem Sie eine DICOM-Instanz in der Cloud Healthcare API gespeichert und aufgerufen haben, fahren Sie mit dem Abschnitt Bereinigen fort, um zu vermeiden, dass Ihrem Google Cloud-Konto die auf dieser Seite verwendeten Ressourcen in Rechnung gestellt werden.

Weitere Informationen zum Arbeiten mit DICOM-Daten finden Sie unter Nächste Schritte.

FHIR-Ressourcen speichern und ansehen

In diesem Abschnitt wird beschrieben, wie Sie die folgenden Aufgaben ausführen:

Erstellen Sie einen FHIR-Speicher.
Speichern Sie eine FHIR-Ressource im FHIR-Speicher.
Sehen Sie sich die Daten zur FHIR-Ressource an.

Die Cloud Healthcare API implementiert den Standard von FHIR-Spezifikation zum Speichern und Zugreifen auf FHIR-Daten.

FHIR-Speicher erstellen

FHIR-Speicher sind in Datasets vorhanden und enthalten FHIR-Ressourcen. Führen Sie die folgenden Beispiele aus, um einen FHIR-Speicher zu erstellen.

Entfernen Sie vor dem Ausführen der Stichproben die Kommentarzeichen und geben Sie bei Bedarf die folgenden Werte an:

ID des Google Cloud-Projekts, das Sie unter Vorbereitung als Projekt-ID erstellt oder ausgewählt haben
my-dataset für die Dataset-ID
us-central1 für den Dataset-Standort
my-fhir-store für die FHIR-Speicher-ID

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

FHIR-Ressourcen speichern

Führen Sie die folgenden Beispiele aus, um eine Patientenressource zu speichern.

Entfernen Sie vor dem Ausführen der Stichproben die Kommentarzeichen und geben Sie bei Bedarf die folgenden Werte an:

ID des Google Cloud-Projekts, das Sie unter Vorbereitung als Projekt-ID erstellt oder ausgewählt haben
my-dataset für die Dataset-ID
us-central1 für den Dataset-Standort
my-fhir-store für die FHIR-Speicher-ID

Go

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

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

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

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

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

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

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

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

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

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

	return nil
}

Java

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

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

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

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

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

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

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

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

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

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

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

Node.js

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

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

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

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

createFhirResource();

Python

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

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

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

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

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

    api_version = "v1"
    service_name = "healthcare"

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

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

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

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

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

FHIR-Ressourceninhalte ansehen

Führen Sie die folgenden Beispiele aus, um Informationen zur Patientenressource anzusehen.

Entfernen Sie vor dem Ausführen der Stichproben die Kommentarzeichen und geben Sie bei Bedarf die folgenden Werte an:

ID des Google Cloud-Projekts, das Sie unter Vorbereitung als Projekt-ID erstellt oder ausgewählt haben
my-dataset für die Dataset-ID
us-central1 für den Dataset-Standort
my-fhir-store für die FHIR-Speicher-ID
Patient für den FHIR-Ressourcentyp

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

Nachdem Sie eine FHIR-Ressource in der Cloud Healthcare API gespeichert und aufgerufen haben, fahren Sie mit dem Abschnitt Bereinigen fort, um zu vermeiden, dass Ihrem Google Cloud-Konto die auf dieser Seite verwendeten Ressourcen in Rechnung gestellt werden.

Weitere Informationen zum Arbeiten mit FHIR-Daten finden Sie unter Nächste Schritte.

HL7v2-Nachricht speichern und ansehen

In diesem Abschnitt wird beschrieben, wie Sie die folgenden Aufgaben ausführen:

HL7v2-Speicher erstellen.
HL7v2-Nachricht im HL7v2-Speicher speichern.
Daten der HL7v2-Nachricht ansehen.

Die HL7v2-Implementierung in der Cloud Healthcare API entspricht dem HL7v2-Standard.

HL7v2-Speicher erstellen

HL7v2-Speicher sind in Datasets vorhanden und enthalten HL7v2-Nachrichten. Führen Sie die folgenden Beispiele aus, um einen HL7v2-Speicher zu erstellen.

Entfernen Sie vor dem Ausführen der Stichproben die Kommentarzeichen und geben Sie bei Bedarf die folgenden Werte an:

ID des Google Cloud-Projekts, das Sie unter Vorbereitung als Projekt-ID erstellt oder ausgewählt haben
my-dataset für die Dataset-ID
us-central1 für den Dataset-Standort
my-hl7v2-store für die HL7v2-Speicher-ID

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

HL7v2-Nachricht erstellen

Laden Sie die Beispieldatei für eine HL7v2-Nachricht auf Ihren Computer herunter:

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

Die HL7v2-Nachricht enthält folgende grundlegende Informationen, wobei sie im Feld data der Beispieldatei base-64-codiert ist:

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

Führen Sie die folgenden Beispiele aus, um die HL7v2-Nachricht zu speichern. Bei den Beispielen wird davon ausgegangen, dass Sie den Code in demselben Verzeichnis ausführen, in das Sie die HL7v2-Nachricht heruntergeladen haben.

Entfernen Sie vor dem Ausführen der Stichproben die Kommentarzeichen und geben Sie bei Bedarf die folgenden Werte an:

ID des Google Cloud-Projekts, das Sie unter Vorbereitung als Projekt-ID erstellt oder ausgewählt haben
my-dataset für die Dataset-ID
us-central1 für den Dataset-Standort
my-hl7v2-store für die HL7v2-Speicher-ID
hl7v2-sample.json für den Namen der HL7v2-Nachrichtendatei

Go

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

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

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

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

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

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

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

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

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

Java

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

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

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

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

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

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

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

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

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

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

Node.js

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

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

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

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

ingestHl7v2Message();

Python

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

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

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

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

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

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

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

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

Die Ausgabe enthält eine HL7v2-Nachrichten-ID. Sie benötigen diese ID im nächsten Abschnitt.

Inhalt von HL7v2-Nachrichten ansehen

Führen Sie die folgenden Beispiele aus, um den Inhalt der HL7v2-Nachricht anzusehen.

Entfernen Sie vor dem Ausführen der Stichproben die Kommentarzeichen und geben Sie bei Bedarf die folgenden Werte an:

ID des Google Cloud-Projekts, das Sie unter Vorbereitung als Projekt-ID erstellt oder ausgewählt haben
my-dataset für die Dataset-ID
us-central1 für den Dataset-Standort
my-hl7v2-store für die HL7v2-Speicher-ID
die ID in der Antwort, als Sie die Nachricht für die HL7v2-Nachrichten-ID gespeichert haben

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

Nachdem Sie eine HL7v2-Nachricht in der Cloud Healthcare API gespeichert und aufgerufen haben, fahren Sie mit dem Abschnitt Bereinigen fort, um zu vermeiden, dass Ihrem Google Cloud-Konto die auf dieser Seite verwendeten Ressourcen in Rechnung gestellt werden.

Weitere Informationen zum Arbeiten mit HL7v2-Daten finden Sie unter Nächste Schritte.

Bereinigen

Löschen Sie das Google Cloud-Projekt mit den Ressourcen, damit Ihrem Google Cloud-Konto die auf dieser Seite verwendeten Ressourcen nicht in Rechnung gestellt werden.

Wenn Sie ein neues Projekt für diese Kurzanleitung erstellt haben, führen Sie die Schritte unter Projekt löschen aus. Andernfalls führen Sie die Schritte unter Dataset löschen aus.

Optional: Widerrufen Sie die von Ihnen erstellten Anmeldedaten für die Authentifizierung und löschen Sie die lokale Datei mit den Anmeldedaten:
```
gcloud auth application-default revoke
```

Optional: Widerrufen Sie Anmeldedaten von der gcloud-CLI.
```
gcloud auth revoke
```

Projekt löschen

Achtung: Das Löschen von Projekten hat folgende Auswirkungen:

Alle Inhalte des Projekts werden gelöscht. Wenn Sie für die Aufgaben in diesem Dokument ein bereits bestehendes Projekt verwendet haben und dieses löschen, werden auch alle anderen im Rahmen des Projekts erstellten Daten gelöscht.
Benutzerdefinierte Projekt-IDs gehen verloren. Beim Erstellen dieses Projekts haben Sie möglicherweise eine benutzerdefinierte Projekt-ID erstellt, die Sie weiterhin verwenden möchten. Damit die URLs, die die Projekt-ID nutzen, z. B. eine appspot.com-URL, erhalten bleiben, sollten Sie ausgewählte Ressourcen innerhalb des Projekts löschen, statt das gesamte Projekt.

Wenn Sie mehrere Architekturen, Anleitungen und Kurzanleitungen durcharbeiten möchten, können Sie die Überschreitung von Projektkontingenten verhindern, indem Sie Projekte wiederverwenden.

Google Cloud-Projekt löschen:

gcloud projects delete PROJECT_ID

Dataset löschen

Wenn Sie das in dieser Kurzanleitung erstellte Dataset nicht mehr benötigen, können Sie es löschen. Durch das Löschen eines Datasets werden das Dataset und alle darin enthaltenen FHIR-, HL7v2- oder DICOM-Speicher endgültig gelöscht.

Entfernen Sie vor dem Ausführen der Stichproben die Kommentarzeichen und geben Sie bei Bedarf die folgenden Werte an:

ID des Google Cloud-Projekts, das Sie unter Vorbereitung als Projekt-ID erstellt oder ausgewählt haben
my-dataset für die Dataset-ID
us-central1 für den Dataset-Standort

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

Wie ist es gelaufen?

Nächste Schritte

In den folgenden Abschnitten finden Sie allgemeine Informationen zur Cloud Healthcare API und dazu, wie Sie die Aufgaben in dieser Kurzanleitung über eine andere Benutzeroberfläche ausführen:

DICOM

Informationen dazu, wie die Cloud Healthcare API den DICOMweb-Standard umsetzt, finden Sie in der DICOM-Konformitätserklärung.

FHIR

Informationen dazu, wie die Cloud Healthcare API den FHIR-Standard umsetzt, finden Sie in der FHIR-Konformitätserklärung.