Domain Architecture for HealthTech
The domain shape binds every extracted field to its source: the document object with its ingest hash, the patient and encounter keys it was filed under, per-field confidence, and the confirmer’s identity for anything a human touched. A finding that cannot be matched to a patient with confidence does not guess — it waits in the review queue as an unmatched item, because in this domain a confidently wrong filing is worse than a slow one.
Compliance, Data Residency & Governance
Health documents are special-category data, so the pipeline’s evidence properties matter as much as its accuracy: data remains in the European zone, access to the review queue is itself restricted to named roles through the project’s handlers, and the record shows who confirmed what and when. Retention labels on the document record drive the sweep; hold flags freeze individual patients’ documents without touching the rest of the archive.
Health data is special-category data under GDPR, and the obligations that follow are about control and evidence: purpose-bound access, consent that can be shown rather than asserted, retention with exceptions, and data that stays where the documentation says it stays. KERNSTACK supports that posture structurally — one European zone on the operator’s own bare metal, access enforced in the functions and workers a reviewer can read, approval and review steps recorded with names and timestamps, and retention sweeps that respect hold flags. It does not certify your product; it makes the certifiable shape easier to build and to demonstrate.
Operational Impact on the Software Lifecycle Cloud
Administrative staff stop retyping and start confirming, which is both faster and safer: the machine handles the legible majority, humans spend their attention on damaged scans and ambiguous filings, and clinicians receive structured findings instead of PDF archaeology. The correction record — where extraction struggled, per document type — gives the team a factual backlog for improving templates instead of a feeling that the system is “usually right”.
Key Domain Entities & Workflows
- Primary HealthTech Data Entities: patients, encounters, consent records, care documents, retention holds
- Governed Lifecycle Workflows: document review, consent capture, referral intake, retention hold, subject erasure
- Integrated Platform Services: buckets, workers, workflows, tables
Compare this integrated blueprint with the general Document processing reference architecture or explore our European Sovereign Cloud guarantees.
Frequently asked questions
It waits, explicitly. Unmatched items sit in the review queue with the document rendered; no fuzzy auto-filing gambles with a wrong patient. Staff resolve the match, and that resolution is recorded like every other confirmation.
The staff your handlers authorise. Queue access runs through the project’s own functions, so the list of who can view patient documents is code a reviewer can read — a property your data-protection documentation can quote verbatim.
Structured findings land in tables designed for it, but purpose matters: secondary use is a consent and governance question your workflows declare. The platform keeps the data in-zone and enumerable; your policies decide the rest, in the open.
Related capabilities, architectures, and comparisons
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