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Վերադառնալ բլոգինԱռողջապահություն

HIPAA MRN-i haitnabervelutyan hnaravorutyun bex regex masnagitutyan

Bzhshkarani MRN dzevachap-n tarberum e bolor hivandanoc-nerits. Memorial-n ogtagonum e MRN:XXXXXXX, St. Mary's-n PT-YYYYY, Hamalsarani hivandanocn UHN-XXXXXXXXXX:

June 4, 20266 րոպե կարդալ
HIPAA de-identificationMRN patternhealthcare ITAI pattern generationPHI detection

HIPAA MRN-i Haytnabervelutyan Hnaravorutyun Bex Regex Masnagitutyan

Jer hivandanoci MRN dzevachap-n chka vorevey standart ANT gorciki mej: Aha inchpes aveli kareli e kargelut hink rope mej: Kov petrak chka:

Bardzaguynabazhakaran IT exaniakner-n unecnun HIPAA xndirn, vor myes xmeagerner ch'unen: ID-n, vorn nranq en petq aveli lav gordi haytnaberel - Banbutyan Katrumyi Hamar (MRN) - kargorvum e ir hivandanoci yemits: Azgayin standart chka:

Bolor HIPAA de-ID nakhagits petq unena custom kazmavorutyun: Anglac, MRN-nery lsanyats en "de-nuynakanacvats" fayl-neri mej anhaytnabert:

Baz-Hivandanoci MRN Khndiry

Hivandanoci xumbnery, karmucvatz yzum-nerovi, unecnun zhangandak EHR hamakargher: Yuraqanchyur hamakarg unecnum e ir sephalik MRN dzevachap-n:

  • Memorial Hospital (Epic): MRN:XXXXXXX - 7-nshan tiv naxanishov
  • St. Mary's (Cerner): PT-YYYYY - 5-nshan hivand naxanishov
  • University Hospital (Meditech): UHN-XXXXXXXXXX - 10 nshan xarajotyun
  • Clinic (ankandzam EMR): C\d{5} - C tarn gumard 5 nshan

HIPAA Safe Harbor-n petaguym e bolor 18 ID tiperi hatucutyunn: Kategoria 8-n bivandakanutyan ktrumyi hamarnern en: Gorciq, or ir dzevachap-n chi giter, miss anel en nranq: Fayl-n marsum e manr: Bayc shat che:

ServiceNow-i barjragitakan hamayinkn nshum e ayd xndire: Standart gorcikner BnI brtum en SSN-ner u helefonanner: Hivandanoci MRN-ner miss anel en bolor andamner:

Regex Xochakn

Microsoft Presidio-yin custom kantakagrer avelacel - bnababak kode bazis bazhmaklavar HIPAA gorcikner - bacakayin mahardzhkutyun e petaguym.

  • Petaguym e imanal PatternRecognizer klasse
  • Petaguym e regex-i grarcutyun Python grammar-ov
  • Petaguym e YAML kazmavorutyunyan fayl-eri kazmavorutyun
  • Petaguym e vastarorum arjaniqayin mrcakanner
  • Petaguym e test acel u bzhshkel Python scenarionery

Komplianse-i avak, or giter e MRN dzevachap-n, ays misacnov ank chi karac: Bzhumutyunn avartovm e inzhenerakani baghu mej: Kaxvum e graskhi mej 6-8 shapatic: Bacn khmum e bac:

AI-Ashxatacvats Dzevachapy Caragravutyun

Goyutyun e aragt chip: Nkaragrel pattern-n sardin barerits: Stanalov working regex apstambunner:

Qayler:

  1. Batkel custom entity karucich-n
  2. Tvel orinaknener: "Mer MRN-nery nman en. MRN:1234567, MRN:9876543, MRN:0001234"
  3. AI karucum e kantaky: MRN:\d{7}
  4. Test acel 10 nmushayini garanum
  5. Bolor MRN-nerd gtvecin: Pahel u taragrel:

Cors MRN dzevachaperneritev xumbi hamar:

  • Memorial Hospital → MRN:\d{7}
  • St. Mary's → PT-\d{5}
  • University Hospital → UHN-[A-Z0-9]{10}
  • Clinic → C\d{5}

Katarer cors custom entity-ner: Xmbagrel nranq preset-um: Gorcel bolor fayl-neri hamar: Zhamanaky: Mek kesor:

Tesek custom MRN-i haytnabervelutyan hamar HIPAA pipeline-nerum bex kode lriv uxxecuchayin zekuyc:

Safe Harbor-i Validiacia

HIPAA Safe Harbor-n asum e, vor nerkayacvats suyektn pates chi karcum datanery karan nuynakanacnel oreve: (45 CFR §164.514(b))

Validaciann aruystutyun e carayum, or jer custom kantakagnery bnaragrumen bolor 18 ID tipy:

Qadam 1: Qaghum nmushayinner: Vstaharel 100 zhamanakagrum yuraqanchyur qaghakadan: Xarack zarbazhkutyun u bnagordznakar:

Qadam 2: Gorcarel haytnabervelutyan: Mshakman bolor 400 fastaratsumner jer custom kantakagnerneriv:

Qadam 3: Martkayin vejercutyun: Ays 20 fastaratsumner sman kerpov (5% nmush): Nayel bacrakan MRN-neri u seghmanaberneri hamar:

Qadam 4: Kantakagnery texeladrel: Bacrakan MRN-ner? Patternern xel unecarek: Ovchik seghmanabernner? Avelagrer sahahaketer:

Qadam 5: Patvasteq: Katagral kantaky, nmushi chap, areqnery u amen orgery: Ays matnagirkn jer Safe Harbor vkayagirn e:

Tesek Bayazatvayk redaction u HIPAA vkayagir zekuycer ayn masin, inchpes tarbutyunn dokumentavarychutyunn:

Bolor Safe Harbor Kaprumn

MRN haytnabervelutyan bzhushkumits heto, verahastatset bolor 18 kategorianery:

KategorianStandart GorciknerCustom Anhrazhesht e?
1. AnunnerNER modelOc
2. Ashkharhagrakan dataneryVerqhagrvats haytnabervelutyanOc nahangi hamar; Ayn garavanutiunneri hamar harcaki
3. TvakanergunKov haytnabervelutyanOc
4. HelefonannerHelefonyan haytnabervelutyanOc
5. FaksannerHelefonyan haytnabervelutyanOc
6. El. Posterin hashvarcneryEl. posti haytnabervelutyanOc
7. SSN-nerSSN haytnabervelutyanOc
8. Bivandakanutyan ktrumyi hamarnnerKarangvats chkaAyn - garavanutiunnerin specifiknik
9. Bvazhakanutyunyi azgayin andam hamarnnerMaseampornHarcaki ayn - masy-specifiknik
10. Hashivakani hamarnnerMaseampornHarcaki ayn - hashivakani dzevachap
11. Arhavarutyunyan license hamarnnerMaseampornHarcaki ayn - nahangi specifiknik
12. Erek-ner paymanagreryMaseampornKarcel e qliniacan fayl-nerum
13. Serakumyan ID-nerMaseampornAyn, yete serakumner en ktrumyi mej
14. Web URL-nerURL haytnabervelutyanOc
15. IP hashvacneryIP haytnabervelutyanOc
16. Biometrik ID-nerTekstavori kontekstKarcel e artakatin gorcel e tekstayin grasenyaknerum
17. NuynagnkerneryPatker miayniChshmarit e tekstayin spagayin hamar
18. Ayl manravorechneric ID-nerKarangvats chkaAyn - garavanutiunnerin specifiknik

Qlinikakan teksti hamar, kategorianery 8, 9, 10 u 18 karoq en petagumel custom kazmavorutyun:

Qlinikakan Fastaratsumyi Kontekst

Artzanaguyt ktrumyi grasenyakner, qlinikakan grasenyakner u gortsarkelutyan maturagirer sharel en himitneri hamar fayl-neri hamar: Nranq unecnum en:

  • MRN-ner navakner u vrachanakin mej
  • Hashivakani hamarnner kashve baxery mej
  • Bolor iradeqneri tarkanergun - erbevaylutyan arum, miyoc, laboratoria, darpiv
  • Bzhishki anunner u DEA hamarnner
  • Uxxarkarich bzhishki manakavarorum
  • Apahovetutyunyi andam ID-ner

Custom kantakagnery qlinikakan-specifiknik dzevachapneri hamar gumardvum en normatvagrvats kantakagneri het standart dzevachapernerov: Ayd zuygy lriv Safe Harbor kaprumn e talis:

Yezelabach

HIPAA de-ID bex custom kantakagnery Safe Harbor de-ID che: Amenayin hivandanoci MRN dzevachap-n benzeal e: Standart gorcikner miss anel en nranq: Komplianse bache gersh e u mnum e bac minci darzel:

AI dzevachapy caray bzhishutyun-n krtsutyun e inzhenerakani 6-8 shapati ashkhatanq mek kesorayin komplianse ashkhatanq: Nkaragrel dzevachap-n: Test acel arcanapatayi garanum: Taragrel: Avartvacu:

Ashxarhnery

Պատրաստ եք պաշտպանելու ձեր տվյալները?

Սկսեք PII անանոնիմացնել 285+ կազմակերպության տեսակներով 48 լեզուներով:

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.