Get Fhir Store
cloud_healthcare.get_fhir_store
ActionGoogle Cloudconnection required
Calls healthcare v1 GET /v1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/fhirStores/{fhirStoresId}.
Gets the configuration of the specified FHIR store.
Connection
- Required
- Yes — the node will not save without one
- Auth type
- OAuth 2.0
- Providers
- Google Cloud Healthcare
- Secret shape
- {"client_id", "client_secret", "refresh_token"}
- Config it needs
- project_id, location
- Resolved by
- config.connection_id, else node.connection_id
Configuration
3 fields, 2 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.
| Field | Type | Required | Default | Constraints | Example |
|---|---|---|---|---|---|
location Location or region; taken from the connection when unset. | string | No | — | — | — |
dataset Dataset name or id. | string | Yes | — | — | — |
fhir_store Fhir store name or id. | string | Yes | — | — | — |
Output
One shape.
result
Extra keys beyond the ones listed can appear.
| Field | Type | Example |
|---|---|---|
bulkExportGcsDestination | object | — |
complexDataTypeReferenceParsing | string | — |
consentConfig | object | — |
defaultSearchHandlingStrict | boolean | — |
disableReferentialIntegrity | boolean | — |
disableResourceVersioning | boolean | — |
enableUpdateCreate | boolean | — |
labels | object | — |
name | string | — |
notificationConfig | object | — |
notificationConfigs | array | — |
streamConfigs | array | — |
validationConfig | object | — |
version | string | — |
{
"bulkExportGcsDestination": {},
"complexDataTypeReferenceParsing": "",
"consentConfig": {},
"defaultSearchHandlingStrict": false,
"disableReferentialIntegrity": false,
"disableResourceVersioning": false,
"enableUpdateCreate": false,
"labels": {},
"name": "",
"notificationConfig": {},
"notificationConfigs": [],
"streamConfigs": [],
"validationConfig": {},
"version": ""
}Related Google Cloud Healthcare nodes
See Get Fhir Store run in a workflow.
In a technical demo we add the Google Cloud Healthcare connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.