DIMP Pseudonymization

DIMP provides de-identification and pseudonymization for FHIR data, protecting patient privacy while keeping the data useful for research.

What DIMP Does

• Removes or masks identifying information (names, addresses, etc.)
• Generates consistent pseudonyms for patient identifiers
• Preserves clinical data (diagnoses, procedures, lab values)

Configuration

Add DIMP to your aether.yaml:

services:
  dimp:
    url: "http://your-dimp-server:32861/fhir"

pipeline:
  enabled_steps:
    - torch   # or local_import
    - dimp    # Pseudonymize after import

jobs_dir: "./jobs"

Running Pseudonymization

aether pipeline start your-query.crtdl

Aether will:

1. Extract data from TORCH (or import from files)
2. Send it to DIMP for pseudonymization
3. Save the protected data in the jobs folder

Output

Results are saved in:

jobs/<job-id>/
├── status.json          # Job status
└── dimp_results.ndjson  # Pseudonymized data

Large Bundles

For large datasets, Aether automatically splits bundles before sending to DIMP:

services:
  dimp:
    url: "http://your-dimp-server:32861/fhir"
    bundle_split_threshold_mb: 10   # Split bundles larger than 10MB