Data De-identification Services
Get critical data de-identified & anonymized by credentialed & certified domain experts
Data De-identification & Anonymization
The process of data de-identification, data masking, and data anonymization ensure the removal of all PHI/PII (personal health/identifying information) such as names and social security numbers that may directly or indirectly connect an individual to their data. Moreover, Shaip also provides proprietary APIs that can anonymize sensitive data in text content with extremely high accuracy. Our APIs then leverage the de-identification process to transform, mask, delete, or otherwise obscure the sensitive data.
Personal Identifiable Information (PII)
Personally Identifiable Information (PII) is personally identifiable information is any data that can contact, locate, or identify a specific individual. Few of the data elements that might be used to identify an individual include:
|PII includes: name, email, home address, phone #|
|If Standalone||If paired with another identifier|
|Social Security Number||Citizenship or Immigration status|
|Driver’s License or State ID||Mother’s Maiden name|
|Passport Number||Ethnic or religious affiliation|
|Alien Registration Number||Sexual orientation|
|Financial Account Number||Account Passwords|
|Biometric Identifiers||Last 4 digits of SSN|
|Telephone numbers||Date of birth|
|Email addresses||Criminal History|
|Full face pictures|
Protected Health Information (PHI)
Protected Health Information (PHI) is any data that can contact, locate, or identify a specific individual.
- Medical images, records, health plan beneficiary, certificate, social security and account numbers
- Past, present, or future health or condition of an individual
- Past, present, or future payment for the provision of healthcare to an individual
- Every date linked directly to a person, such as date of birth, discharge date, date of death, and administration
When you need data in real-time you should be able to access APIs just as quickly. This is why Shaip APIs provide real time, on-demand access to the records you need. With Shaip APIs your teams now have fast and scalable access to de-identified records and quality contextualized medical data to complete their AI projects right the first time.
Patient data is essential in developing the best possible healthcare AI projects. But protecting their personal information is just as essential. Shaip is a known industry leader in data de-identification, data masking, and data anonymization to remove all PHI/PII (personal health/identifying information).
- De-identify, tokenize, and anonymize sensitive data for PHI, PII and PCI
- Conform with HIPAA and Safe Harbor guidelines
- Redact all 18 identifiers covered in HIPAA and Safe Harbor guidelines.
- Expert certification and auditing of de-identification quality
- Follow comprehensive PHI annotation guidelines to uniformly de-identify PHI data and adhere to the Safe Harbor guidelines
Data De-identification Key Features
World-class quality data with multiple levels of quality control and humans-in-the-loop.
Single Optimized Platform for Data Integrity
Data Masking through a single platform with integrated production, test, & development enables database integrity across geography
100+ million documents de-identified
A proven platform that facilitates effective de-identification of data reducing the risks of compromised PII/PHI.
Enhanced Data Security
Enhanced data security ensures data formats are policy controlled and preserved.
Automated, repeatable solution with the human in the loop process for de-identification that can be scaled as data grows
Availability & Delivery
High network up-time & on-time delivery of data, services & solutions.
Data De-identification in Action
Deidentify Protected Health Information (PHI) from structured datasets, while enforcing HIPPA & GDPR compliance and ensuring linkage of clinical data across files.
De-identify free text
Deidentify free-text documents by either obscuring or masking PHI information with high-accuracy with our patented Healthcare API.
Deidentify DICOM images by masking or obscuring PHI information
Goal: Removing PII from financial documents including W2, Bank statement, 1099, 1040 etc.
Challenge: De-identification of 18 predefined identifiers in 10,000+ financial documents.
Our Contribution: De-identified PIIs from 10,000+ financial documents on the client’s platform utilizing Onshore personnel.
End Result: The client developed an AI-driven information extraction model to pull crucial data from financial documents.
Comprehensive Compliance Coverage
Scale data de-identification across different regulatory jurisdictions including GDPR, HIPAA, and as per Safe Harbor, De-identification that reduces risks of compromise of PII/PHI
Dedicated and trained teams:
- 7000+ collaborators for Data Creation, Labeling & QA
- Credentialed Project Management Team
- Experienced Product Development Team
- Talent Pool Sourcing & Onboarding Team
Highest process efficiency is assured with:
- Robust 6 Sigma Stage-Gate Process
- A dedicated team of 6 Sigma black belts – Key process owners & Quality compliance
- Continuous Improvement & Feedback Loop
The patented platform offers benefits:
- Web-based end-to-end platform
- Impeccable Quality
- Faster TAT
- Seamless Delivery
Empowering teams to build world-leading AI products.
Data de-identification, data masking, or data anonymization is the process of removal of all PHI/PII (personal health information / personally identifiable information) such as names and social security numbers that may directly or indirectly connect an individual to their data.
PII refers to personally identifiable information, it is any data that can contact, locate, or identify a specific individual such as social security number (SSN), passport number, driver’s license number, taxpayer identification number, patient identification number, financial account number, credit card number, or Personal address information (street address, or email address. Personal telephone numbers).
PHI refers to personal health information in any form, including physical records (medical reports, lab test results, medical bills), electronic records (EHR), or spoken information (physician dictation).
De-identification involves two steps. The first is the removal of direct identifiers and the second is the removal or alteration of other information that could potentially be used to re-identify or lead to an individual.