By · Last updated 2026-06-06

Späť na blogGDPR a Dodržiavanie

Datatilsynet: GDPR pre zdravotnicke data v Dansku

Dansky Datatilsynet vydal v roku 2024 31 rozhodnuti GDPR; 14 sa tykalo zdravotnickych systemov. Cislo CPR vyzaduje overenie modulus-11, ktore 67 % nastrojov NLP vynechava.

June 6, 20268 min čítania
Denmark DatatilsynetCPR numberhealthcare GDPRNordic data protectionhealth data

GDPR pre zdravotnicke data v Dansku: vymozitelnost Datatilsynet 2024

Dansky Datatilsynet vydal v roku 2024 celkom 31 pripadov GDPR. Styrnadsat z nich -- 45 % -- sa tykalo zdravotnickych systemov. Dansko ma 5,9 miliona obyvatelov. Taky podiel je vemi vysoky. Ukazuje, ako daleko krajina pokrocila v oblasti digitalneho zdravotnictva. Zaroven dokumentuje prisnost platnych pravidiel.

Dansky zdravotnicky system

Kazdy Dat ma cislo CPR. Toto cislo je prepojene s pacientskym zaznamom, registrom liekov, nemocnicnym logom a vzorkami tkaniv v Statens Serum Institut. Nemocnicny log siaha az do roku 1977.

Vdaka tomuto systemu patrí danska medicinska vyskum k najlepsim na svete. Zaroven to znamena, ze pacientske zaznamy su velmi citlive. Prave preto sa Datatilsynet sustredi tak intenzivne na tuto oblast.

Problem s cislom CPR

Cislo CPR je 10-ciferny identifikator. Ma tvar DDMMRR-XXXX. Posledna cifra je kontrolna cifra. Funguje na zaklade aritmetiky modulus-11.

Cisla CPR sa objavuju v kazdom klinickom subore. Su prepojene so zdravotnou starostlivostou, danami, bankovnictvom a volebnymi zaznamami.

Datatilsynet pozaduje, aby ste pred pouzitim pacientskych zaznamov na akykolvek novy ucel overili svoju prace s de-identifikaciou. Napriek tomu 67 % beznych nastrojov NLP krok modulus-11 pre cisla CPR vynechava. Ked ho vynechaju, nastanu dva problemy.

Nepravdive zhody: Retazce datum, cisla faktur a referencne kody su oznacene ako skutocne cisla CPR. To vedie k nakladnym rucnym kontrolam.

Zmeskane identifikatory: Cisla CPR s prehodenymi ciframi nepreidu kontrolou. Skutocne identifikatory pacientov tak preniknu dalej. Vystup vyzera cistý, ale nie je.

Pozri nas pruvodce detekciou narodnych identifikatorov v EU pre informacie o tom, ako funguju pravidla kontrolnych cifric pre ine typy identifikatorov v EU.

Styri pravidla pre opetovne pouzitie pacientskych zaznamov

Danske medicinske registre prispievaju k financovaniu najlepsieho vyskumu. Usmernenie Datatilsynet z roku 2024 o opetovnom pouziti stanovuje styri pravidla.

Zdokumentujte postup: Uvedte kazde pole, ktore ste odstranili alebo zmenili. Poznamenejte, ako ste zaokruhlili alebo zoskupili hodnoty. Strucna poznamka k politike tuto podmienku nespina.

Predlozte vysledky testovania: Preukajte, ze vase nastroje nasli cisla CPR a ine danske identifikatory. Tvrden nie je dokaz.

Obmedzte rozsah: Nebertemore osobnych dat, ako vasa studia potrebuje. Toto pravidlo plati aj pre pseudonymizovane sady.

Vypracujte DPIA pre nastroje AI: Kazdy nastroj AI, ktory spracuva danske pacientske subory, potrebuje DPIA. Pouzite standardny formular Datatilsynen.

Tri oblasti zaujmu v Kodani

Medzi med-tech firmy v Kodani patria Leo Pharma, Bavarian Nordic a mnohe startupy. Datatilsynet sleduje tri rizikove oblasti.

Trenovacie sady AI: Urad zistil v roku 2024, ze firmy trenovali modely AI na suboroch so zivotnymi cislami CPR. Ani jedna nemala platny pravny zaklad.

Presuny do zahranicia: Niekolko spolocnosti posielalo pacientske subory americkym poskytovatelom cloudu na prace s AI. Urad uviedol, ze SCC samotne nestacia. Su potrebne aj technicke opatrenia -- napriklad sifrovanie s klucmi ulozenymi v Europe.

Pristupovacie logy: Logy musia ukazovat, kto cital ake subory a preco. Uchovat ich treba najmenej pat rokov.

56 % danskich naruse zdravotnickych dat v roku 2024 vzniklo z dovodu slabej de-identifikacie. Pouzivanie nastrojov s overovanim CPR a podporou danskeho jazyka eliminuje najcastejsie pochybenie.

Dalsi informacie o vymozitelnosti v nordickych krajinach najdete v nasej prirucke IMY Sweden GDPR anonymizacia.

Zdroje

Pripravení chrániť vaše údaje?

Začnite anonymizovať PII s 285+ typmi entít v 48 jazykoch.

About this page

We update this page when our platform or the law changes.

Read our founder note for how we work.

Each change shows up in the timestamp at the top.

Related reading

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
  • NIS2 (EU 2022/2555).
  • HIPAA safe harbor under 45 CFR § 164.514(b)(2).

Our promise

We do not sell your data.

We do not train models on your text.

We store your files in Germany.

You can delete your account at any time.

You own your work.

Where we run

Our servers live in Falkenstein, Germany.

We use Hetzner. They hold ISO 27001 certification.

All data stays in the EU.

Backups run every day.

Need help?

Email support@anonym.legal.

We reply within one business day.

How we test

We run a full check suite on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We track recall and precision on a labelled set.

Bad runs block the deploy.

What we never do

  • We never sell your information to third parties.
  • We never train models on what you upload.
  • We never keep your work after you delete it.
  • We never share keys with any outside firm.
  • We never run ads inside the product.

Plans in plain words

We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

You can top up at any time.

Unused credits roll over each month.

Read the plans page for current rates.

Who built this

A small team of engineers and lawyers built this.

We ship from Europe and work in the open.

Our founder note spells out why we started.

Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

One friend kept getting odd ads on her phone.

We asked why a court file leaked through a draft.

We sketched the first build on a napkin that week.

By month three we had a tiny demo for a friend.

She used it on her first case the next day.

Common questions we hear

Can the tool read scanned PDFs? Yes, with OCR.

Does it work on long files? Yes, in small chunks.

Can I roll my own rule set? Yes, save it as a preset.

Does it run offline? The desktop build runs offline.

Do you keep my files? No, the cloud build wipes after each run.

Will it learn from my work? No, we never train on inputs.

A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.