Identified data
Raw studies, direct identifiers, and the identity mapping remain inside the approved local environment.
Medical-imaging platform proposal
Keep identified data local. Bring approved compute to it.
This draft architecture proposes secure storage, de-identification, governed access, and model training for approximately 40,000 angiography and echocardiography studies.
View the selected workProposed implementation pipeline
A governed path through a sensitive system.
Select a layer to inspect its proposed responsibility and trust boundary. Optional privacy testing and confidential-computing controls would be evaluated during implementation planning.
Proposed / On-premises
Verified study ingestion
The proposal uses encrypted batch transfer with manifests, checksums, and a controlled landing zone.
Each study would be tracked by modality, size, checksum, arrival date, and verification status before entering the working system.
Trust boundaries
Governed workflows
Catalog search, access requests, review gates, and append-only audit events connect actions to an approved purpose.
Approved access
Approved metadata, vetted anonymized copies, reviewed metrics and logs, and versioned model artifacts can move through controlled partner-facing systems.
Design the boundary
Make sensitive data useful without making control ambiguous.
We help teams turn privacy, access, compute, and release requirements into a practical platform architecture.
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