Créer une observation

Créez une ressource d'observation FHIR.

En savoir plus

Pour obtenir une documentation détaillée incluant cet exemple de code, consultez les articles suivants :

Exemple de code

Python

Avant d'essayer cet exemple, suivez les instructions de configuration pour Python du guide de démarrage rapide de l'API Cloud Healthcare à l'aide des bibliothèques clientes. Pour en savoir plus, consultez la documentation de référence de l'API Cloud Healthcare Python.

Pour vous authentifier auprès de l'API Cloud Healthcare, configurez le service Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 

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

def create_observation(
    project_id: str,
    location: str,
    dataset_id: str,
    fhir_store_id: str,
    patient_id: str,
    encounter_id: str,
) -> Dict[str, Any]:
    """Creates a new Observation resource in a FHIR store that references an Encounter and Patient resource.

    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.
      patient_id: The "logical id" of the referenced Patient resource. The ID is
        assigned by the server.
      encounter_id: The "logical id" of the referenced Encounter resource. The ID
        is assigned by the server.

    Returns:
      A dict representing the created Observation 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'
    # patient_id = 'b682d-0e-4843-a4a9-78c9ac64'  # replace with the associated Patient resource's ID
    # encounter_id = 'a7602f-ffba-470a-a5c1-103f993c6  # replace with the associated Encounter resource's ID
    fhir_store_parent = (
        f"projects/{project_id}/locations/{location}/datasets/{dataset_id}"
    )
    fhir_observation_path = (
        f"{fhir_store_parent}/fhirStores/{fhir_store_id}/fhir/Observation"
    )

    observation_body = {
        "resourceType": "Observation",
        "code": {
            "coding": [
                {
                    "system": "http://loinc.org",
                    "code": "8867-4",
                    "display": "Heart rate",
                }
            ]
        },
        "status": "final",
        "subject": {"reference": f"Patient/{patient_id}"},
        "effectiveDateTime": "2019-01-01T00:00:00+00:00",
        "valueQuantity": {"value": 80, "unit": "bpm"},
        "context": {"reference": f"Encounter/{encounter_id}"},
    }

    request = (
        client.projects()
        .locations()
        .datasets()
        .fhirStores()
        .fhir()
        .create(
            parent=fhir_observation_path,
            type="Observation",
            body=observation_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 Observation resource with ID {response['id']}")

    return response

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