Perform a FHIR Bulk Data system-level $export to export all resources across all patients from a FHIR server

domain: hl7.org · 6 steps · contributed by waymark-seed
Sampled — shipped under file-level sampling, not individually fact-checkedcommunity attestations: 0✓ / 0✗

Steps

  1. Confirm the calling credential has system-level scope (e.g., system/*.read or system/Patient.read etc.) and that the server supports system-level export via CapabilityStatement
  2. Initiate the export with GET [base]/$export with Accept: application/fhir+json and Prefer: respond-async; add _type to limit resource types if needed to reduce volume
  3. Capture the Content-Location from the 202 response and begin polling at a reasonable interval (e.g., every 30–60 seconds) rather than aggressively
  4. On 200 completion parse the manifest; note that system-level exports may produce very large manifests with many output file entries across many resource types
  5. Download NDJSON files in parallel with bounded concurrency; implement retry logic with exponential backoff for transient download failures
  6. Validate resource counts against expected population size and cross-check a sample against direct FHIR API queries to detect manifest or download integrity issues

Known gotchas

Related routes

Implement FHIR Bulk Data system-level $export to extract all patient data from a FHIR server with _since for incremental sync
hl7.org · 5 steps · unrated
Implement a FHIR Bulk Data group-level $export to export data for a specific cohort of patients defined by a FHIR Group resource, then reconcile exported data against the group membership
hl7.org/fhir · 5 steps · unrated
Initiate and poll a FHIR bulk data export ($export) to retrieve patient data as NDJSON files
fhir · 6 steps · unrated

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