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Ugunduzi wa MRN wa HIPAA Bila Kujua Regex

Muundo wa MRN wa kila hospitali ni tofauti. Memorial hutumia MRN:XXXXXXX, St. Mary's hutumia PT-YYYYY, University Hospital hutumia UHN-XXXXXXXXXX.

June 4, 20266 dakika kusoma
HIPAA de-identificationMRN patternhealthcare ITAI pattern generationPHI detection

Ugunduzi wa MRN wa HIPAA Bila Kujua Regex

Muundo wa MRN wa hospitali yako haupo katika zana yoyote ya kawaida ya PII. Hapa kuna jinsi ya kuuongeza katika dakika tano. Hakuna nambari zinazohitajika.

Timu za teknolojia za huduma za afya zinakabiliwa na tatizo la HIPAA ambalo sekta nyingine hazina. Kitambulisho wanachohitaji zaidi kukigundua - Nambari ya Rekodi ya Matibabu - kimewekwa na hospitali yao wenyewe. Hakuna kiwango cha kitaifa.

Kila mradi wa kutoweka utambulisho wa HIPAA unahitaji usanidi maalum. Bila hiyo, MRN zinapita bila kutambuliwa kwenye faili "zilizotowezwa utambulisho".

Tatizo la MRN kwa Mtandao wa Hospitali Nyingi

Mtandao wa hospitali uliojengwa kupitia muungano una mifumo ya zamani ya EHR. Kila mfumo una muundo wake wa MRN:

  • Memorial Hospital (Epic): MRN:XXXXXXX - nambari yenye tarakimu 7 na kiambishi awali
  • St. Mary's (Cerner): PT-YYYYY - yenye tarakimu 5 na kiambishi awali cha mgonjwa
  • University Hospital (Meditech): UHN-XXXXXXXXXX - mchanganyiko wa herufi 10
  • Kliniki (EMR ya kujitegemea): C\d{5} - herufi C pamoja na tarakimu 5

HIPAA Safe Harbor inahitaji kuondoa aina zote 18 za vitambulisho. Kategoria 8 ni nambari za rekodi za matibabu. Zana isiyojua muundo wako itazikosa. Faili inaonekana safi. Si hivyo.

Jamii ya ServiceNow ya afya imebainisha tatizo hili hasa. Zana za kawaida hukamata SSN na nambari za simu. Hukosa MRN za vituo kila wakati.

Kizuizi cha Regex

Kuongeza sheria maalum kwa Microsoft Presidio - msingi wa chanzo wazi kwa zana nyingi za HIPAA - kunahitaji ujuzi wa kweli:

  • Unahitaji kujua darasa la PatternRecognizer
  • Lazima uandike regex katika muundo wa Python
  • Lazima uunde faili za usanidi wa YAML
  • Lazima urekebisha alama za kuamini
  • Lazima ujaribu na kurekebisha hati za Python

Afisa wa utiifu anayejua muundo wa MRN hawezi kufanya hili peke yake. Suluhu inaishia kama tiketi ya uhandisi. Inakaa kwenye foleni kwa wiki 6-8. Pengo linabaki wazi.

Utengenezaji wa Mfumo kwa Msaada wa AI

Kuna njia ya haraka zaidi. Eleza mfumo kwa maneno ya kawaida. Pata regex inayofanya kazi kurudi.

Hatua:

  1. Fungua kijenzi cha kitengo maalum
  2. Toa mifano: "MRN zetu zinaonekana hivi: MRN:1234567, MRN:9876543, MRN:0001234"
  3. AI inajenga sheria: MRN:\d{7}
  4. Jaribu kwenye rekodi 10 za sampuli
  5. MRN zote zimegundulika? Hifadhi na uweke.

Kwa mtandao wenye miundo 4 ya MRN:

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

Tengeneza vitengo vinne maalum. Vikundi kuwa mipangilio. Tekeleza kwenye faili zote. Muda: mchana mmoja.

Angalia ugunduzi maalum wa MRN katika mstari wa HIPAA bila nambari kwa mwongozo kamili.

Uthibitishaji kwa Safe Harbor

HIPAA Safe Harbor inasema shirika linalohusika haliwezi kuwa na "maarifa halisi" kwamba data inaweza kumtambua mtu. (45 CFR §164.514(b))

Uthibitishaji unaonyesha kwamba sheria zako maalum zinashughulikia aina zote 18 za vitambulisho.

Hatua 1: Chora sampuli. Pata rekodi 100 kutoka kwa kila tovuti. Changanya vipindi vya wakati na idara.

Hatua 2: Tekeleza ugunduzi. Sindika nyaraka zote 400 na sheria zako maalum.

Hatua 3: Ukaguzi wa binadamu. Kagua hati 20 kwa mkono (sampuli ya 5%). Tafuta MRN zilizokosekana na matokeo yasiyosahihi.

Hatua 4: Rekebisha sheria. MRN zilizokosekana? Panua mfumo. Matokeo mengi yasiyosahihi? Ongeza mipaka ya maneno.

Hatua 5: Andika chini. Rekodi sheria, ukubwa wa sampuli, matokeo, na tarehe. Rekodi hii ni rekodi yako ya Safe Harbor.

Angalia ufafanuzi wa ufutaji na njia za ukaguzi wa HIPAA kwa maelezo zaidi ya kile cha kuandika.

Mfuniko Kamili wa Safe Harbor

Baada ya kurekebisha ugunduzi wa MRN, angalia kategoria zote 18.

KategoriaZana za KawaidaMaalum Inahitajika?
1. MajinaMfano wa NERHapana
2. Data ya kijiografiaUgunduzi wa mahaliHapana kwa jimbo; Ndiyo kwa nambari za tovuti
3. TareheUgunduzi wa tareheHapana
4. Nambari za simuUgunduzi wa simuHapana
5. Nambari za faksiUgunduzi wa simuHapana
6. Anwani za barua pepeUgunduzi wa barua pepeHapana
7. SSNUgunduzi wa SSNHapana
8. Nambari za rekodi za matibabuHaijajengwaNdiyo - maalum ya tovuti
9. Nambari za wanachama wa mpango wa afyaSehemuMara nyingi ndiyo - maalum ya mlipaji
10. Nambari za akauntiSehemuMara nyingi ndiyo - muundo wa bili
11. Nambari za leseniSehemuMara nyingi ndiyo - maalum ya jimbo
12. Vitambulisho vya magariSehemuNadra katika hati za kliniki
13. Vitambulisho vya vifaaSehemuNdiyo ikiwa vifaa vipo kwenye rekodi
14. URL za wavutiUgunduzi wa URLHapana
15. Anwani za IPUgunduzi wa IPHapana
16. Vitambulisho vya biometricMuktadha wa maandishiNadra katika maelezo ya kutolewa
17. PichaPicha peke yakeNje ya upeo kwa maandishi
18. Vitambulisho vingine vya kipekeeHaijajengwaNdiyo - maalum ya tovuti

Kwa maandishi ya kliniki, kategoria 8, 9, 10, na 18 mara nyingi zinahitaji usanidi maalum.

Muktadha wa Hati za Kliniki

Maelezo ya kutolewa, maelezo ya kliniki, na ripoti za upasuaji ni faili kuu zinazoshirikiwa kwa utafiti. Zina:

  • MRN kwenye vichwa na miguu ya kurasa
  • Nambari za akaunti katika sehemu za bili
  • Tarehe za matukio yote - kulazwa, utaratibu, maabara, dawa
  • Majina ya madaktari na nambari za DEA
  • Maelezo ya daktari wa rufaa
  • Vitambulisho vya wanachama wa bima

Sheria maalum za miundo maalum ya tovuti zinaoanishwa na sheria zilizojengwa kwa miundo ya kawaida. Hii inatoa mfuniko kamili wa Safe Harbor.

Hitimisho

Kutoweza utambulisho wa HIPAA bila sheria maalum si kutoweka utambulisho wa Safe Harbor. Muundo wa MRN wa kila hospitali ni wa kipekee. Zana za kawaida huzikosa. Pengo la utiifu ni halisi na linabaki wazi hadi ulipofunga.

Utengenezaji wa mfumo wa AI hukata suluhu kutoka wiki 6-8 za uhandisi hadi mchana mmoja wa kazi ya utiifu. Eleza muundo. Ujaribu kwenye rekodi halisi. Uweke. Imemaliza.

Vyanzo

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Anza kuanonymisha PII na aina 285+ za vitu katika lugha 48.

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).

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Read the plans page for current rates.

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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.

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She used it on her first case the next day.

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A short tour of the workflow

Upload a file or paste a snippet of prose.

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