ClinicOps
EU MedTech Regulatory Data Integrity

Keep EUDAMED, UDI, certificates, SS(C)P and controlled records aligned when products change.

You changed something about a device. ClinicOps checks whether that change reached every regulatory record in the agreed scope where it should appear — and shows your team exactly what still needs review.

Here's what that looks like in practice: an IFU gets revised to rev 12, the label follows, the Declaration of Conformity follows — and somewhere in the chain, the EUDAMED export still says rev 11. Nobody decided that; it just wasn't run again. That's the ordinary way records drift: one approved fact, five or six places it has to match, no single moment where anyone checks they still agree. Bring the exports and controlled documents you already have; ClinicOps compares them deterministically and returns an exception queue with an owner and closure evidence per row. Nothing to implement, nothing to migrate. Machines compare; your qualified team decides.

Runs in your browser. No upload. No sign-up. Nothing you enter leaves the page.

Why records drift

One approved fact — a device name, a UDI-DI, an intended-purpose statement, a certificate reference, an SS(C)P revision — can appear in EUDAMED, UDI records, labels, IFUs, declarations, technical documentation, RIM/master data and controlled spreadsheets at once. Those copies are maintained by different owners in different systems, and after every change some of them quietly drift apart. Finding the drift by hand is slow; missing it is worse.

APPROVED SOURCE IFU revision → rev 12 ECO-2026-041 · provenance kept IFU documentrev 12ALIGNED EUDAMED recordrev 11 · export 2026-09-14MISMATCH SIGNAL Label / artworkrev 12 · ART-8812 rev CALIGNED SS(C)Pno observation yetMISSING EVIDENCE Declaration of Conformityrev 12ALIGNED
One change, five regulated copies: two exceptions become reviewer work with an owner and an evidence trail — the rest is recorded as aligned. All values fictional.

How ClinicOps works

1 · Define the approved source
2 · Declare expected surfaces
3 · Compare the evidence
4 · Review exceptions
5 · Close with evidence

Deterministic comparison, a fixed set of statuses (aligned, mismatch signal, missing evidence, conflicting evidence, unresolved, requires qualified review), a named owner per exception and a closure record at the end. No scores, no automated regulatory conclusions.

Seven numbered steps on a horizontal rail: approved source, EUDAMED, UDI, certificate, SS(C)P, labelling and controlled records, with what is compared at each step.
What is compared at each step, from the approved source to every declared surface. Illustrative structure.

Behind ClinicOps: MSc in Medicine (Translational Medicine), Aalborg University · hands-on pharmacovigilance · Pharma + MedTech documentation experience · native Danish · the experience behind ClinicOps →

One workflow, three ways in

It's one review, met at whatever point of readiness you're at — not three separate products.

What the output looks like

Screenshot of the Regulatory Integrity Scanner's result panel on the built-in fictional example portfolio: status counts (nine aligned, two mismatch signals, one missing evidence, two requiring qualified review) above a findings table listing each record, field, expected and observed value, status, evidence reference and owner.
A screenshot of the Scanner on its built-in fictional portfolio, not a mock-up. Run it yourself; your data never leaves the browser.

What you receive

An exception queue, not a score. Each row contains:

Source, expected, observed

The approved source value, the value expected on each declared surface, and the value observed in the evidence provided.

Evidence provenance

Every observation links to the document, export or record it came from, so a reviewer can check it without re-searching.

Owner and next action

A named owner and a next action for every exception.

Status and closure

One of the fixed statuses above, and the closure evidence recorded when the exception is closed.

Annotated sample of one exception row with eight parts: field, source value, expected, observed, provenance, owner, next action and status shown as colour plus words. All values fictional.
Anatomy of one exception row. All values fictional.

Coverage

EU authorised representation: Ali Iskandar is registered as an EUDAMED AR actor in Spain (SRN ES-AR-000060462). Manufacturer/device representation requires a separate accepted written mandate. Explore EU AR scoping →

See how each surface is handled in the use cases.

Boundaries

Machine comparison, qualified judgement. ClinicOps validates structure, normalises identifiers, compares values and versions, links records and builds the queue. Regulatory interpretation, materiality, safety significance and every final disposition stay with your qualified owner. A mismatch signal is not a compliance determination. ClinicOps is not a notified body or a competent authority, and does not replace your RA/QA team, RIM, QMS, PLM or ERP.

Specialist context when needed. Where an exception needs clinical context, ClinicOps can bring in independent specialist review — medicine and nursing — and record it in the evidence trail. How specialist review works →

How a review runs

Scope

Agree one approved change or one portfolio export, the surfaces to compare and a named regulatory owner.

Controlled intake

You provide the exports and controlled records inside that scope. Only the declared evidence population is compared.

Work product

ClinicOps runs the deterministic comparison and assembles the source register, change-surface matrix and exception queue.

Qualified human review

Your qualified owners dispose of each exception. Specialist review is brought in only where an exception needs it.

Delivery

A closure packet: a readable report and a machine-readable export, with closure evidence per exception.

Delivery flow: a bounded record set, controlled intake and written scope go into ClinicOps reconciliation, which produces evidence-linked exceptions; a qualified human reviews them before the source register, reconciliation report, owner queue and evidence outputs are produced.
The five steps, and where machine work hands over to your reviewers.

Inspect the method before you engage

Interactive specimen register

Inspect a synthetic row-by-row evidence chain and the reviewer boundary.

Research & methodology

Public-source research on EUDAMED data quality, SS(C)P records and reconciliation method.

Bring one real change.

The fastest way to evaluate ClinicOps is a bounded pilot: one product family or one approved change, a declared evidence population, a fixed window and a named owner.