www.johnsnowlabs.com
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51.158.130.125
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Submitted URL: https://t.sidekickopen22.com/Ctc/2H+23284/ccpq104/JkM2-6qcW6N1vHY6lZ3lWW949YX72ctv74W1gsPKW7GJ4Y5W8YMpTb3D19B5W73Vsg45mvc-3W6...
Effective URL: https://www.johnsnowlabs.com/deidentification
Submission: On September 11 via api from SG — Scanned from SG
Effective URL: https://www.johnsnowlabs.com/deidentification
Submission: On September 11 via api from SG — Scanned from SG
Form analysis 4 forms found in the DOM
POST https://forms.hsforms.com/submissions/v3/public/submit/formsnext/multipart/1794529/356cc65d-b6bb-45cd-a1a7-763605bd8cbe
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<div class="hs_lastname hs-lastname hs-fieldtype-text field hs-form-field"><label id="label-lastname-356cc65d-b6bb-45cd-a1a7-763605bd8cbe" class="" placeholder="Enter your Last name" for="lastname-356cc65d-b6bb-45cd-a1a7-763605bd8cbe"><span>Last
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<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input id="lastname-356cc65d-b6bb-45cd-a1a7-763605bd8cbe" name="lastname" required="" placeholder="" type="text" class="hs-input" inputmode="text" autocomplete="family-name" value=""></div>
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<div class="hs_email hs-email hs-fieldtype-text field hs-form-field"><label id="label-email-356cc65d-b6bb-45cd-a1a7-763605bd8cbe" class="" placeholder="Enter your Company Email" for="email-356cc65d-b6bb-45cd-a1a7-763605bd8cbe"><span>Company
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<legend class="hs-field-desc" style="display: none;"></legend>
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<legend class="hs-field-desc" style="display: none;"></legend>
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<div class="input"><input id="firstname-356cc65d-b6bb-45cd-a1a7-763605bd8cbe" name="firstname" required="" placeholder="" type="text" class="hs-input" inputmode="text" autocomplete="given-name" value=""></div>
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<div class="hs_lastname hs-lastname hs-fieldtype-text field hs-form-field"><label id="label-lastname-356cc65d-b6bb-45cd-a1a7-763605bd8cbe" class="" placeholder="Enter your Last name" for="lastname-356cc65d-b6bb-45cd-a1a7-763605bd8cbe"><span>Last
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<legend class="hs-field-desc" style="display: none;"></legend>
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<div class="hs_email hs-email hs-fieldtype-text field hs-form-field"><label id="label-email-356cc65d-b6bb-45cd-a1a7-763605bd8cbe" class="" placeholder="Enter your Company Email" for="email-356cc65d-b6bb-45cd-a1a7-763605bd8cbe"><span>Company
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<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input id="email-356cc65d-b6bb-45cd-a1a7-763605bd8cbe" name="email" required="" placeholder="" type="email" class="hs-input" inputmode="email" autocomplete="email" value=""></div>
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<legend class="hs-field-desc" style="display: none;"></legend>
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<div class="hs_submit hs-submit">
<div class="hs-field-desc" style="display: none;"></div>
<div class="actions"><input type="submit" class="hs-button primary large" value="Talk to us"></div>
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<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input id="firstname-356cc65d-b6bb-45cd-a1a7-763605bd8cbe" name="firstname" required="" placeholder="" type="text" class="hs-input" inputmode="text" autocomplete="given-name" value=""></div>
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<div class="hs_lastname hs-lastname hs-fieldtype-text field hs-form-field"><label id="label-lastname-356cc65d-b6bb-45cd-a1a7-763605bd8cbe" class="" placeholder="Enter your Last name" for="lastname-356cc65d-b6bb-45cd-a1a7-763605bd8cbe"><span>Last
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<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input id="lastname-356cc65d-b6bb-45cd-a1a7-763605bd8cbe" name="lastname" required="" placeholder="" type="text" class="hs-input" inputmode="text" autocomplete="family-name" value=""></div>
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<div class="hs_email hs-email hs-fieldtype-text field hs-form-field"><label id="label-email-356cc65d-b6bb-45cd-a1a7-763605bd8cbe" class="" placeholder="Enter your Company Email" for="email-356cc65d-b6bb-45cd-a1a7-763605bd8cbe"><span>Company
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<legend class="hs-field-desc" style="display: none;"></legend>
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<legend class="hs-field-desc" style="display: none;"></legend>
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<div class="actions"><input type="submit" class="hs-button primary large" value="Talk to us"></div>
</div><input name="hs_context" type="hidden"
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<div class="hs-field-desc" style="display: none;"></div>
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Home » Healthcare Data De-identification Tools
MEDICAL DATA DE-IDENTIFICATION TOOLS
* Simple process & setup
* Automatically de-identify structured data, unstructured data, documents, PDF
files, and images in compliance with HIPAA, GDPR, or custom needs
* Trusted by 5 of 8 Top Pharma Companies
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Phone number
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Try Live Demo
>99%Accuracy on real-world documents
HOW PROVIDENCE HEALTH DE-IDENTIFIED 700 MILLION PATIENT NOTES WITH SPARK NLP
Accuracy:
99.19correctly de-identified sentences
Performance:
2.46hours
to de-identify 500K patient notes.
See how we did it
LIVE TEST WITH YOUR MEDICAL DATA
THE DATA DE-IDENTIFICATION SOFTWARE
Read the blog post “Accurate PHI De-identification” >
1
Analyze
Human
* Risk analysis
* Legal requirements review
* HIPAA Safe Harbor, HIPAA Expert Determination
* CCPA
* GDPR pseudoanonymization, GDPR anonymization
* Quality assurance strategy & process
Receive raw data
2
Identify
Software
* ID, name, email, patient ID, SSN, credit card, address, birthday, phone, URL,
license number
* Physician name, hospital name, profession, employer, affiliation
* Racial or ethnic origin, religion, political or union affiliation, biometric
or genetic data, sexual practice or orientation
3
Measure
Human
* Cleanroom AI Platform (on-site)
* Annotation tool
* Active learning
* Accuracy Measurement & agreement processes
* Correct sampling
* Multi-lingual
4
De-identify
Software
We support:
* Tabular (headers, values)
* Text (NER, text matching)
* PDF: Text or Scanned
* Images (OCR & metadata)
* DICOM (OCR & metadata)
So you can:
* Replace (or delete a field)
* Mask (hash identifiers or shift dates)
* Obfuscate (name, locations, organizations)
* Generalize (disease codes, dates, addresses)
Deliver de-identified data
5
Monitor
Human
* Ongoing measurement & model improvement
* Missed sensitive data
* Incident response
* GDPR & CCPA requests
* Emergency unblinding
* Audits
DE-IDENTIFICATION TOOLS WITH FULL RANGE OF FEATURES
John Snow Labs’ De-identification solutions AWS Medical Comprehend Microsoft
Presidio Google DLP De-dentification tool End-to-end service Available also as a
standalone library Established new state of the art accuracy in peer reviewed
publication Real world reference with >99% correctly recognized PHI Scanned PDF
Integrated Separate service Separate service DICOM Integrated Separate service
Separate service Obfuscation Software with Multilingual support Built on big
data framework Possible to fine tune standard pre-trained models Data does not
leave your premise Works in air gap insulated server with no internet access
* Entities available out of box:
ACCOUNT, AGE, BIOID, CITY, CONTACT, COUNTRY, DATE. DEVICE, DLN, DOCTOR,
EMAIL, FAX, HEALTHPLAN, HOSPITAL, ID, IDNUM, IPADDR, LICENSE, LOCATION,
LOCATION-OTHER, MEDICALRECORD, NAME, ORGANIZATION, PATIENT, PHONE, PLATE,
PROFESSION, SSN, STREET, STATE, URL, USERNAME, VIN, ZIP
* Easy to add other entities.
* Works with virtually any input – text, scanned PDF, DICOM, docx, pptx.
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DATA DE-IDENTIFICATION SOFTWARE IN ACTION
De-identify
structured data
Tools to De-identify PHI (Protected Health Information) from structured datasets
automatically while enforcing GDPR and HIPAA compliance and maintaining linkage
of clinical data across files.
De-identify free text
documents
De-identify free text documents by either masking or obfuscating PHI using
out-of-the-box, high-accuracy Spark NLP Healthcare models.
De-identify DICOM
documents
De-identify DICOM documents by masking PHI information on the image and by
either masking or obfuscating PHI from the metadata.
De-identify PDF documents – HIPAA Compliance
De-identify PDF documents using HIPAA guidelines by masking PHI information
using out of the box Spark NLP and Spark OCR models.
De-identify PDF documents – GDPR Compliance
De-identify PDF documents using GDPR guidelines by anonymizing PHI information
using out of the box Spark NLP and Spark OCR models.
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DATA DE-IDENTIFICATION TOOLS: WEBINARS
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