Research Institutions

The cohort you need
is sitting in a PACS.
HREC says you
can have it.

The bottleneck is not ethics approval - it is the gap between approval and a clean, governed dataset in your pipeline. SECUVA™ closes that gap.

See our threat model →
113
DICOM PS3.15 Annex E attributes
Immutable
Audit chain for every governed release
The bottleneck

Ethics approval is one step.Getting the data safely is another.

Research teams regularly wait months between HREC approval and receiving usable data - because the health network has no governed, automated pathway to deliver it. SECUVA gives them one.

Manual de-id by clinical staff with no formal training or standard
Re-identification risk from indirect identifiers in clinical notes
No lineage trail - where did this cohort come from?
Research data pipeline · governed
HREC approval received
Ethics reference bound to the release policy
done
Cohort query submitted
Attribute filters applied, population matched
done
PHI removed on-prem
DICOM, FHIR, free-text - all de-identified
active
Policy check enforced
Only approved recipients, approved attributes
active
Dataset delivered
Signed manifest, reproducible methodology
pending
What changes

From bottleneck to pipeline.

Requesting a patient cohort from a health network
Without SECUVA
Months of IT tickets, manual de-id, legal review, often PHI included
With SECUVA
Policy-gated automated release. Days, not months. HREC reference tracked.
Training a model on clinical imaging
Without SECUVA
Manual DICOM export, hope header settings cover every identifier - they don't
With SECUVA
PixelIQ strips the full PS3.15 attribute surface and burnt-in pixel overlays.
Sharing a dataset with an international collaborator
Without SECUVA
Data crosses jurisdiction with unclear sovereignty. Legal risk.
With SECUVA
Governed release - Australian-hosted pathway, policy-bound, audit-logged.
Reproducing a study methodology
Without SECUVA
No record of which version of cohort, which de-id approach was applied
With SECUVA
Signed manifest with exact cohort definition and methodology. Reproducible.
How it works

Ethics to dataset in three steps.

  1. Step 01 · With your HREC approval

    Define

    Your ethics reference, cohort criteria, and approved data attributes are bound to the release policy at the health network.

    • HREC reference binding
    • Cohort attribute definition
    • Approved-recipient registration
  2. Step 02 · Automated, on-prem

    Anonymise

    SECUVA processes the cohort against the policy. PHI is removed across all modalities - imaging, notes, genomics - before data moves.

    • Multi-modality de-identification
    • Re-identification risk scoring
    • Methodology snapshot recorded
  3. Step 03 · Governed, signed

    Receive

    Dataset arrives via your approved pathway with a signed manifest, reproducible methodology reference, and access to the audit log.

    • Signed delivery manifest
    • Reproducible methodology
    • Ongoing access-log visibility
Compliance

Everything your HREC, institution, and data partners need to see.

Evidence-grade de-identification with a methodology your ethics committee can evaluate and your institution can stand behind.

  • DICOM PS3.15-aligned methodology
  • HL7 FHIR R4 de-identification
  • OAIC APP 11 aligned
  • Re-identification risk scoring
  • Reproducible cohort manifests
  • Tamper-evident access audit log
  • AU data residency