Data De-identification Services

Get critical data de-identified & anonymized by credentialed & certified domain experts

Data De-Identification Services

Put data anonymization on auto pilot with Shaip.

Data De-identification & Anonymization Solutions

The process of data de-identification and data anonymization ensures the removal of publicly available data 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 HIPAA de-identification processes such as expert HIPAA determination and safe harbor to transform, mask, delete, or otherwise obscure sensitive information.

Personal Identifiable Information (Pii)

Personal Identifiable Information (PII)

PII Data De-identification or PII Data Anonymization is the process of de-identifying any information that permits the identity of an individual to whom the identified information applies or can be reasonably inferred by either direct or indirect means. In short, Personally Identifiable Information (PII) is any data that can contact, locate, or identify a specific individual.

Few of the HIPAA De-identification Standard identifiers or data elements that might be used to identify an individual include:

PII includes: name, email, home address, phone #
If StandaloneIf paired with another identifier
Social Security NumberCitizenship or Immigration status
Driver’s License or State IDMother’s Maiden name
Passport NumberEthnic or religious affiliation
Alien Registration NumberSexual orientation
Financial Account NumberAccount Passwords
Biometric IdentifiersLast 4 digits of SSN
Telephone numbersDate of birth
Email addressesCriminal History
Full face pictures 
 
 

Protected Health Information (Phi)

Protected Health Information (PHI)

PHI Data De-identification or PHI Data Anonymization is the process of de-identifying any information in a medical record that can be used to identify an individual; that was created, used, or disclosed in the course of providing a medical service, such as a diagnosis or treatment. In short Protected Health Information (PHI) is any data that can contact, locate, or identify a specific individual.

Few of the HIPAA identifiers or data elements that might be used to identify an individual include:

  • 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

APIs

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 data and quality contextualized medical data to complete their AI projects right the first time.

De-Identification API

Patient data is essential in developing the best possible healthcare AI projects. But protecting their personal information is just as essential to prevent possible data breaches. 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
  • Confirm with HIPAA and Safe Harbor guidelines
  • Redact all 18 identifiers covered in HIPAA and Safe Harbor de-identification guidelines.
  • Expert certification and auditing of de-identification quality
  • Follow comprehensive PHI annotation guidelines for PHI de-identification thereby, adhering to Safe Harbor guidelines

Read More

De-Identification Api

Data De-identification Key Features

Human-In-The-Loop

Human-In-The-Loop

World-class quality data with multiple levels of quality control and humans-in-the-loop.

Single Optimized Platform For Data Integrity

Single Optimized Platform for Data Integrity

Data anonymization through production, test, and development ensures data integrity across multiple geographies and systems.

100+ Million Documents De-Identified

100+ million de-identified data

A proven platform that facilitates effective HIPAA de-identification of data reducing the risks of compromised PII/PHI.

Security

Enhanced Data Security

Enhanced data security ensures data formats are policy controlled and preserved.

Anonymization - Enhanced Scalability

Enhanced Scalability

Anonymize data sets of any size at scale with a human-in-the-loop.

Masking - Availability &Amp; Delivery

Availability & Delivery

High network up-time & on-time delivery of data, services & solutions.

De-identification Data in Action

PHI Redaction in action

De-identify medical text records by anonymizing or masking patient’s health information (PHI) with Shaip’s proprietary Healthcare API (Data De-identification Platform).

De-identify structured medical records

De-identify patient health information (PHI) from medical records, while complying to HIPPA regulations.

Use Case

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

Safe Harbor De-Identification By Shaip
Gdpr Complient De-Identification By Shaip
Hipaa Complient Data Masking By Shaip

Reasons to choose Shaip as your Data De-identification Partner

People

People

Dedicated and trained teams:

  • 30,000+ collaborators for Data Creation, Labeling & QA
  • Credentialed Project Management Team
  • Experienced Product Development Team
  • Talent Pool Sourcing & Onboarding Team

Process

Process

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

Platform

Platform

The patented platform offers benefits:

  • Web-based end-to-end platform
  • Impeccable Quality
  • Faster TAT
  • Seamless Delivery
  • Proprietary data de-identification tools

Featured Clients

Empowering teams to build world-leading AI products.

Start de-identifying your AI Data today. Anonymize data of any size at scale with human-in-the-loop

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.

A de-identified patient data is health data in which a PHI (Personal Health Information) or PII (Personally Identifiable Information) is removed. Also known as PII masking, it involves the removal of details such as names, social security numbers and other personal details that may directly or indirectly connect an individual to their data, leading to the risk of re-identification.

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).

There are two prominent data de-identification techniques. 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. At Shaip, we use precision data de-identification tools and standard operating procedures to ensure the process is as airtight and accurate as possible.