ClinicOps
EU MedTech Regulatory Data Integrity

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

Find EUDAMED, UDI, certificate, SS(C)P and controlled-document discrepancies after product changes — without replacing your existing systems. Bring the exports and controlled records you already have; ClinicOps compares the evidence deterministically and returns a reviewer-ready exception queue with owners and closure evidence. Machines compare; your qualified team interprets and decides.

Everything free runs in your browser — no sign-up, nothing you enter leaves the page.

The problem

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 bounded status vocabulary (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 (Aalborg University) · hands-on pharmacovigilance · Pharma + MedTech documentation experience · 500+ regulated assignments, 100% on time · native Danish · the experience behind ClinicOps →

One flagship workflow

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.
Real Scanner output on the built-in fictional example portfolio — an actual screenshot of the live tool, not a mock-up. Run it yourself in the Scanner; your data never leaves the browser.

What you receive

A reviewer-ready closure queue — not a score and not a verdict. Each row a reviewer opens 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 each exception; unresolved interpretation is routed to your qualified reviewers.

Status and closure

A bounded status — aligned, mismatch signal, missing evidence, conflicting evidence, unresolved, requires qualified review — and closure evidence recorded when an 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

See how each surface is handled in the use cases.

Boundaries

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

Specialist context when needed. Where a bounded exception requires clinical context, ClinicOps can introduce independent specialist review — across medicine and nursing — as part of the evidence trail. How specialist review works →

How a bounded review is scoped and delivered

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

Interpretation, materiality and every final disposition stay with your qualified owners; independent specialist review can be introduced where a bounded exception needs it.

Delivery

A reviewer-ready closure packet: a human-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.
Comparison is machine work; every disposition is a reviewer decision.

Inspect the method before you engage

Regulatory Integrity Scanner

Run a single-change check or a portfolio scan in your browser. Deterministic, exportable, nothing uploaded.

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 — delivered as a reviewer-ready closure packet.