Export FHIR data in Azure API for FHIR

Important

Azure API for FHIR will be retired on September 30, 2026. Follow the migration strategies to transition to Azure Health Data Services FHIR service by that date. Due to the retirement of Azure API for FHIR, new deployments won't be allowed beginning April 1, 2025. Azure Health Data Services FHIR service is the evolved version of Azure API for FHIR that enables customers to manage FHIR, DICOM, and MedTech services with integrations into other Azure services.

The Bulk Export feature allows data to be exported from the FHIR Server per the FHIR specification.

Before using $export, you want to make sure that the Azure API for FHIR is configured to use it. For configuring export settings and creating Azure storage account, refer to the configure export data page.

Note

Only storage accounts in the same subscription as that for Azure API for FHIR are allowed to be registered as the destination for $export operations.

Using $export command

After configuring the Azure API for FHIR for export, you can use the $export command to export the data out of the service. The data will be stored into the storage account you specified while configuring export. To learn how to invoke $export command in FHIR server, read documentation on the HL7 FHIR $export specification.

Jobs stuck in a bad state

In some situations, there’s a potential for a job to be stuck in a bad state. This can occur especially if the storage account permissions haven’t been set up properly. One way to validate export is to check your storage account to see if the corresponding container (that is, ndjson) files are present. If they aren’t present, and there are no other export jobs running, then there’s a possibility the current job is stuck in a bad state. You should cancel the export job by sending a cancellation request and try requeuing the job again. Our default run time for an export in bad state is 10 minutes before it will stop and move to a new job or retry the export.

The Azure API For FHIR supports $export at the following levels:

  • System: GET https://<<FHIR service base URL>>/$export>>
  • Patient: GET https://<<FHIR service base URL>>/Patient/$export>>
  • Group of patients* - Azure API for FHIR exports all related resources but doesn't export the characteristics of the group: GET https://<<FHIR service base URL>>/Group/[ID]/$export>>

With export, data is exported in multiple files each containing resources of only one type. The number of resources in an individual file will be limited. The maximum number of resources is based on system performance. It's currently set to 5,000, but can change. The result is that you might get multiple files for a resource type. The file names will follow the format 'resourceName-number-number.ndjson'. The order of the files isn't guaranteed to correspond to any ordering of the resources in the database.

Note

Patient/$export and Group/[ID]/$export may export duplicate resources if the resource is in a compartment of more than one resource, or is in multiple groups.

In addition, checking the export status through the URL returned by the location header during the queuing is supported along with canceling the actual export job.

Exporting FHIR data to ADLS Gen2

Currently we support $export for ADLS Gen2 enabled storage accounts, with the following limitation:

  • User can’t take advantage of hierarchical namespaces, yet there isn't a way to target export to a specific subdirectory within the container. We only provide the ability to target a specific container (where we create a new folder for each export).
  • Once an export is complete, we never export anything to that folder again, since subsequent exports to the same container will be inside a newly created folder.

Settings and parameters

Headers

There are two required header parameters that must be set for $export jobs. The values are defined by the current $export specification.

  • Accept - application/fhir+json
  • Prefer - respond-async

Query parameters

The Azure API for FHIR supports the following query parameters. All of these parameters are optional:

Query parameter Defined by the FHIR Spec? Description
_outputFormat Yes Currently supports three values to align to the FHIR Spec: application/fhir+ndjson, application/ndjson, or ndjson. All export jobs return ndjson and the passed value has no effect on code behavior.
_since Yes Allows you to only export resources that have been modified since the time provided
_type Yes Allows you to specify which types of resources will be included. For example, _type=Patient would return only patient resources
_typefilter Yes To request finer-grained filtering, you can use _typefilter along with the _type parameter. The value of the _typeFilter parameter is a comma-separated list of FHIR queries that further restrict the results
_container No Specifies the container within the configured storage account where the data should be exported. If a container is specified, the data will be exported into a folder into that container. If the container isn’t specified, the data will be exported to a new container.
_till No Allows you to only export resources that have been modified till the time provided. This parameter is applicable to only System-Level export. In this case, if historical versions haven't been disabled or purged, export guarantees true snapshot view, or, in other words, enables time travel.
includeAssociatedData No Allows you to export history and soft deleted resources. This filter doesn't work with '_typeFilter' query parameter. Include value as '_history' to export history/ non latest versioned resources. Include value as '_deleted' to export soft deleted resources.
_isparallel No The "_isparallel" query parameter can be added to the export operation to enhance its throughput. The value needs to be set to true to enable parallelization. It is important to note that using this parameter may result in an increase in the request units consumption over the life of export.

Note

There is a known issue with the $export operation that could result in incomplete exports with status success. Issue occurs when the is_parallel flag was used. Export jobs executed with _isparallel query parameter starting February 13th, 2024 are impacted with this issue.

Secure Export to Azure Storage

Azure API for FHIR supports a secure export operation. Choose one of the two options below:

  • Allowing Azure API for FHIR as a Microsoft Trusted Service to access the Azure storage account.

  • Allowing specific IP addresses associated with Azure API for FHIR to access the Azure storage account. This option provides two different configurations depending on whether the storage account is in the same location as, or is in a different location from that of the Azure API for FHIR.

Allowing Azure API for FHIR as a Microsoft Trusted Service

Select a storage account from the Azure portal, and then select the Networking blade. Select Selected networks under the Firewalls and virtual networks tab.

Important

Ensure that you’ve granted access permission to the storage account for Azure API for FHIR using its managed identity. For more information, see Configure export setting and set up the storage account.

Azure Storage Networking Settings.

Under the Exceptions section, select the box Allow trusted Microsoft services to access this storage account and save the setting.

Allow trusted Microsoft services to access this storage account.

You're now ready to export FHIR data to the storage account securely. Note that the storage account is on selected networks and isn’t publicly accessible. To access the files, you can either enable and use private endpoints for the storage account, or enable all networks for the storage account for a short period of time.

Important

The user interface will be updated later to allow you to select the Resource type for Azure API for FHIR and a specific service instance.

Allow specific IP addresses to access the Azure storage account from other Azure regions

  1. In the Azure portal, go to the Azure Data Lake Storage Gen2 account.

  2. On the left menu, select Networking.

  3. Select Enabled from selected virtual networks and IP addresses.

  4. In the Firewall section, in the Address range box, specify the IP address. Add IP ranges to allow access from the internet or your on-premises networks. You can find the IP address in the following table for the Azure region where the FHIR service is provisioned.

    Azure region Public IP address
    Australia East 20.53.44.80
    Canada Central 20.48.192.84
    Central US 52.182.208.31
    East US 20.62.128.148
    East US 2 20.49.102.228
    East US 2 EUAP 20.39.26.254
    Germany North 51.116.51.33
    Germany West Central 51.116.146.216
    Japan East 20.191.160.26
    Korea Central 20.41.69.51
    North Central US 20.49.114.188
    North Europe 52.146.131.52
    South Africa North 102.133.220.197
    South Central US 13.73.254.220
    Southeast Asia 23.98.108.42
    Switzerland North 51.107.60.95
    UK South 51.104.30.170
    UK West 51.137.164.94
    West Central US 52.150.156.44
    West Europe 20.61.98.66
    West US 2 40.64.135.77

Allow specific IP addresses to access the Azure storage account in the same region

The configuration process for IP addresses in the same region is just like the previous procedure, except that you use a specific IP address range in Classless Inter-Domain Routing (CIDR) format instead (that is, 100.64.0.0/10). You must specify the IP address range (100.64.0.0 to 100.127.255.255) because an IP address for the FHIR service is allocated each time you make an operation request.

Note

It's possible to use a private IP address within the range of 10.0.2.0/24, but there's no guarantee that the operation will succeed in such a case. You can retry if the operation request fails, but until you use an IP address within the range of 100.64.0.0/10, the request won't succeed.

This network behavior for IP address ranges is by design. The alternative is to configure the storage account in a different region.

Next steps

In this article, you've learned how to export FHIR resources using $export command. Next, to learn how to export de-identified data, see

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