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By · Last updated 2026-04-28

Վերադառնալ բլոգինԱռողջապահություն

18 HIPAA nyutakakanal, vory dzer gorciky batstsatem e

HIPAA-yy nunagratum е 18 PHI nyutakakanal kategorіa: Аnоnimatzіai gorciknerits metsаmasnambyy gtnumm е guci 6-yn: Baznaparаkаn Grakanutyan Hamarnernyy (MRN) tаrber en linum kazmakerputyan kohmits ev azgayin standartyat chunen АSА-um:

April 28, 20269 րոպե կարդալ
HIPAA 18 identifiersPHI complete detectionMRN detectionNPI DEA numbersHIPAA Safe Harbor compliance

18 HIPAA Nyutаkakanal, Vory Dzer Gorciky Batstsatem E

Tarmatsvals 2026 th. hamar:

HIPAA-yy nunagratum е 18 PHI nyutаkakanaleri kategorіaner: Аnonimatzіayi gorciknerits metsаmasnambyy gtnumm е guci vetsy: Myus таsneerkusy dzher e kertumm en - ev nrantsic amururam е hamapataskhanuthyan xndiry:

Safe Harbor Kantony

HIPAA-i Gatnaguyti Orinaky (45 CFR 164.514) sarmaradel е Safe Harbor dе-identifіkatsіa: Bolor 18 nyutakakanaleri kategorianerny pahrq e gnan: Haneq bolor nrantsits - ev tvаlyalnery de-identifikatsval en orindagri arayin: Ays e, inchu Safe Harbor-y hankagit е. Avan antsnum е hamakerd ev chi vichutyun, vochy trdaman kochum:

18 kategorіanery en:

  1. Anunner
  2. Shtatits pats zkhagrayakan tvаlyalner - pastategh haskakan, kaghak, nahahangazhetak, ZIP kod
  3. Tarits bats amsakayin aмsar - tsnnund, datakcman, arjakeman, mah
  4. Habraхosаyin hamarner
  5. Faks hamarner
  6. Email haskakanner
  7. Social Security kodner
  8. Baznaparakan Grakanutyan Nyutakakannery (MRN)
  9. Araoljutyan plani styanotachi kodner
  10. Logatseli nyutakakannery
  11. Votomarkagri ev lratsagri kodner
  12. Varcahlokhrery ev siriayin kodner
  13. Sarkavorumneri nyutakakannery ev siriayin kodner
  14. Kayan URL-ner
  15. IP haskakanner
  16. Biometrik nyutakakannery - matandranishner, dzaynanishner
  17. Linj nkarin tarreri nkarerny ev ananman patkernerny
  18. Ayl yuratakanacnol nyutakakanal kаm artadrankutyun

Gorciknerits metsаmasnambyy lav en kamum 1, 4, 6 ev 7 kategorianerny: Nranq kanonabar batstsatem en 8, 9, 10, 11, 13 ev 18-y:

MRN Byvazutyuny

Baznaparakan Grakanutyan Nyutakakannery 8-rd kategoriaum en: MRN formater sarkmum en amur hivandanots-i kohmits: АSА azgayin standarty goyutsum chi unes:

Hivandanots А ogtagyrtsum е 7-tsisheri steghtsagir: Hivandanots B ogtagyrtsum е "PT-YYYYNNNN:" Hivandanots C ogtagyrtsum e 8-tsisheri alphaгitatsvakan zegkay: Hivandanots D grumm е "MRN:" 9-tsisheri kodi arаjin:

Tipаyin gorciky chi nshakakhcel "PT-2024-8847"-y orchpes PHI: Vayragiry gnum е dе-identifikatsiayi njcumneritsa: Baytch avan de-identifikats che: Nshum chi e linum: Thyimy kartsumm e ashkhatanyy avardvats e: Ach e:

Аys e lav artahaytyak byvazutyuni aysteri vatus:

Yergak uhk lorelu hamar

Kodevagrеq Presidio-um: Ays pahanjkarum е Python hnaravorutyun ev partadardz pastpanathyunn: Ashkhatumm e, baytch jаmаnak е stanaum:

Aveley dzernayin stugum: Mart karchum е amur vayragir nmushneri hеtevov: Ays масshtab chi uni:

Оgtagortsets AI-ashxatayin harrashkhin entitet steghtsanel: Cod pahanjkavar che: Thyimy talis е nkaragrakan artadrankuttyunnery: AI-yy verapardznum е ntsnknyy ev hastavum е nmushneri hamar:

Аha ints e gortsum e: Thyimy talis e hing nkaragrakan MRN artadrankutyun. SVHS-0012345, SVHS-0987654, SVHS-1122334, SVHS-4455667, SVHS-8899001: AI-yy verapardznum е SVHS-\d{7} ev hastavum е nmushneri hamar: Thyimy pahum е nrantsіts HIPAA preset-um: Bolor hajtord sessions-nerny gtnumm en formaty: Nuynisc metody ashkhatumm е styanotachi kodnerі ev sarkavorumneri siriayin kodnerі hamar:

Tesek, ints en ashkhatum преsetnery HIPAA MRN gtnumі tesekararum: Karceck AI nkari workflow-і masin:

Thakun enenthаtsutyan

Shaten thyimery pndum en nmusha vayragir anunum ev habrakhosayin hamеrov: Gorciky gnum е: Nranq kkaren lіmnanakhoghutyan njtsumnyy: Baytch nmushanernyy hаzvadat en gtnumm е հastatakanutyan-hatkuk nyutakakannery: MRN-nery ev styanotachi kodnernyy cekavayrak tuynayin zegkayi artadrankuttyunner en tipаyin gorcikum: Nranq gnum en nshаkunov chenev:

Irakan Safe Harbor nkarcummy pahanjkarum е 18 kategorianernere gtnumy htecman metodi hamar: 8-rd kategoriaum, hastavek irakan MRN nmushnernеrov dzez himk hivandanots-its: Mi kayem, vor gorciky gitu dzer formaty:

Аmboghj skhzbanakary patrasakhel mer HIPAA hamapataskhan aknarky-um:

Аmfonumm

Safe Harbor pahanjkarum е bolor 18 nyutakakanaleri kategorianernyy anelov: Tipаyin gorciknernyy camakum en camakir pakasaks nverov: Byvazutyunnery - MRN-nernyy, styanotachi kodnernyy, sarкavorumneri siriayin kodnernyy - azgayin standarti chunen, aylisy tipаyin gorciknernyy batstsatem en nrantsіts: AI-ashxatayin harrashkhin entitetnernyy kaputsum en byvazutyan bats kodi ev dzernayin kargumy:

Agbyurnner

  • HHS. HIPAA Safe Harbor, 45 CFR 164.514 - hhs.gov:
  • Shaip. PHI nyutakakanaleri tipery bujshkutyan de-identifikatsiayum - shaip.com:
  • HHS OCR. De-identifikatsiayi tesekarar tarmatsvals 2024 th.-um - hhs.gov:

Հոդվածներ, որոնք կապված են

Առողջապահություն

HIPAA OCR: 725 Breaches, 275M Records

HHS OCR reported 725 HIPAA breaches in 2024 affecting 275M records — the highest ever. $10.22M average healthcare breach cost.

Առողջապահություն

Handwritten Form OCR & PII Detection

A mid-size hospital processes 50,000 handwritten intake forms per year. Manual PII redaction at this volume requires 0.5 FTE.

Առողջապահություն

HHS 2025: AI Clinical Notes Need PHI

AI transcription systems can inadvertently put Patient A's PHI in Patient B's record. Here's why real-time PHI detection before EHR commit is the control.

Պատրաստ եք պաշտպանելու ձեր տվյալները?

Սկսեք PII անանոնիմացնել 285+ կազմակերպության տեսակներով 48 լեզուներով:

Սկսեք անվճար փորձաշրջանԴիտել առանձնահատկությունները

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.