HIPAA MRN-opsporing sonder 'n Regex-doktorsgraad
Elke hospitaal se MRN-formaat is anders. Memorial gebruik MRN:XXXXXXX, St. Mary's gebruik PT-YYYYY, University Hospital gebruik UHN-XXXXXXXXXX.
HIPAA: Hospitaalspesifieke MRN-Opsporing
HIPAA Safe Harbor vereis die verwydering van mediese rekordnommers - maar MRN-formate is nie gestandaardiseer nie. Epic, Cerner en Meditech gebruik almal verskillende formate.
HIPAA Safe Harbor De-ID op Skaal
HIPAA Safe Harbor vereis die verwydering van 18 spesifieke PHI-identifiseerder-kategoriee. Akademiese mediese sentrums benodig de-identifikasie op skaal, maar bestaande instrumente kos meer as wat die meeste navorsingstoelaes toelaat.
ISO 27001 en HIPAA BAA's vir Gesondheidsorg
HIPAA Besigheidsgenoot-ooreenkomste vereis 'bevredigende versekering' van gepaste beheermaatreels. ISO 27001 sluit direk aan by HIPAA 164.
Pasgemaakte MRN-opsporing Sonder Kode vir HIPAA
Mediese rekordnommers is hospitaalspesifiek -- elke gesondheidsorgstelsels gebruik 'n ander formaat. HIPAA Safe Harbor vereis die verwydering van MRN'e.
18 HIPAA-Identifiseerders wat U Gereedskap Mis
HIPAA lys 18 PHI-identifiseerders. Die meeste anonimiseringsgereedskap bespeur dalk 6 daarvan. Mediese rekordnommers wissel per instelling sonder 'n standaard VSA-formaat.
Omkeerbare Enkripsie vir Her-kontak
U kan nie Pasient_001 vir 'n opvolgbesoek kontak nie. IRB's vereis nou gedokumenteerde her-identifikasieprotokolle -- wat bewys dat u WEL kan her-identifiseer onder.
Omkeerbere De-ID vir Kliniese Navorsing
Wanneer 'n studie onverwagse biomarkrisiko by 47 van 5 000 deelnemers vind, moet navorsers werklike pasiente kontak. Slegs 23% van anonimiseringsnutsgoed bied.
HIPAA ChatGPT met Blaaierbeskerming
77% van werknemers deel sensitiewe werkinligting ten minste weekliks met KI-nutsgoed. Intydse blaaier-PII-onderskepping verminder lekkasieinsidente met 94%.
Bondelverwerking van 50K Kliniese Notas Plaaslik
'n Februarie 2026 SDNY-uitspraak het bevind dat AI-verwerkte dokumente prokureur-klient-voorreg verloor as dit nie eers geanonimiseer word nie.
LLM's Mis 50% van Kliniese PHI
'n 2025-studie het bevind dat LLM's meer as 50% van kliniese PHI in veeltalige dokumente mis. 34.8% van alle ChatGPT-insette bevat sensitiewe data.
Verduidelibare Redigering: HIPAA-oudits
HIPAA Kundige Bepaling vereis gedokumenteerde metodologie. Regsontdekking vereis redigering-gronde per redigering. 34% van DPO's rapporteer onvoldoende stelsels vir outomatiese anonimiseringsnakomingsdokumentasie.
HIPAA in die Wolk: Nul-Kennis vir PHI
Sakevennootooreenskomste keer nie HIPAA-oortredings nie wanneer jou wolk-KI-verskaffer PHI in plainteks verwerk. Hier is wat nul-kennisargitektuur werklik bied.
Wanneer CISO's Nee Se vir Wolkverwerking van PHI
725 gesondheidsorgdata-oortredings in 2024 het 275 miljoen rekords geraak. Met $10,22M gemiddelde oortredingskoste - die hoogste van enige bedryf - wys CISO's wolkinstrumente vir PHI gereeld van die hand.
HHS 2025: KI-kliniese Notas Benodig PHI-beskerming
KI-transkripsiesisteme kan per ongeluk Pasient A se PHI in Pasient B se rekord plaas. Hier is hoekom intydse PHI-bespeuring voor EHR-verbintenis die beheer is.
Handgeskrewe Vorm OCR en PII-Opsporing
'n Middelgrootte hospitaal verwerk 50,000 handgeskrewe inname-vorms per jaar. Handmatige PII-redigering op hierdie volume vereis 0.5 VTE.
HIPAA OCR: 725 Oortredings, 275M Rekords
HHS OCR het 725 HIPAA-data-oortredings in 2024 gerapporteer wat 275M rekords geraak het -- die hoogste ooit. Gemiddelde gesondheidsorg-oortreding kos $10.22M.
PHI-opsporing: Snow Labs 96% vs GPT-4o
Nie alle de-identifikasie-nutsmiddels is gelyk nie. ECIR 2025-maatstawwe toon F1-tellings van 79% tot 96%. Leer waarom akkuraatheid belangrik is en hoe om nutsmiddels te evalueer.
$7.42M: Gesondheidsorgskending-koste Lei Die Weg
Gesondheidsorg was vir 14 opeenvolgende jare die duurste bedryf vir data-skendings. Leer waarom PHI so waardevol is en hoe om dit te beskerm.
Begin Vandag U Data te Beskerm
285+ entiteitstipes, 48 tale, ondernemingsgraad sekuriteit teen startup prys.
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 company HQ is in Saarbrücken, Germany. Our servers run in Hetzner's Falkenstein datacenter.
Hetzner holds 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
- Open the web app and try a sample file.
- Learn how credits get counted.
- See current plans and limits.
- Meet the team behind the product.
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.