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, compliant dataset in your pipeline. SECUVA closes that gap.

See our threat model →
Days
Not months - from HREC approval to first clean dataset
Zero
Raw PHI in any external pipeline or model training job
100%
Audit coverage - every access, every transformation logged
Multi
Modality support - imaging, genomics, clinical notes, waveforms
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 compliant, 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 quasi-identifiers in clinical notes
No lineage trail - where did this cohort come from?
Research data pipeline · governed
HREC approval received
Ethics reference stored in policy engine
Cohort query submitted
Attribute filters applied, population matched
PHI removed on-prem
DICOM, FHIR, free-text - all de-identified
Policy check enforced
Only approved recipients, approved attributes
Dataset delivered
Signed manifest, reproducible methodology
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 burnt-in text - they don't
With SECUVA
PixelIQ strips all 113+ attributes. Pixel PHI detected automatically across every SOP class.
Sharing a dataset with an international collaborator
Without SECUVA
Data crosses jurisdiction with unclear sovereignty. Legal risk.
With SECUVA
Governed release - AU-sovereign 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.

Step 01With your HREC approval

Define

Your ethics reference, cohort criteria, and approved data attributes are loaded into the SECUVA policy engine at the health network.

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

Anonymise

SECUVA Agent 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
Step 03Governed, 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 E.1/E.2 methodology
HL7 FHIR R4 de-identification
OAIC APP 11 aligned
TGA SaMD pathway compliant
Re-identification risk scoring
Reproducible cohort manifests
Immutable access audit log
AU data residency guaranteed

Ready to accelerate your research pipeline?

Talk to a SECUVA research engineer about your cohort requirements and institutional data-sharing setup.