Medical Data De-identification Solutions
Automatically anonymize structured and unstructured data, documents, PDF files, and images, in accordance with HIPAA, GDPR, or specific customization requirements.
Unleash Insights from De-identified Patient Data
Data De-identification & Anonymization Solutions
Protected Health Information (PHI) 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. Shaip provides de-identification with human-in-the-loop for greater accuracy in anonymizing sensitive data in text content. This approach leverages HIPAA de-identification methods, including expert determination and safe harbor, to transform, mask, delete, or otherwise obscure sensitive information. HIPAA identifies the following as PHI:
- Names
- Addresses/locations
- Dates and ages
- Telephone numbers
- Vehicle identifiers & serial numbers, including license plate nos
- Fax numbers
- Device identifiers and serial numbers
- Email addresses
- Web Universal Resource Locators (URLs)
- Social security numbers
- Internet Protocol (IP) addresses
- Medical record numbers
- Biometric identifiers, including finger and voice prints
- Health plan beneficiary numbers
- Full-face photographs and any comparable images
- Account numbers
- Certificate/license numbers
- Any other unique identifying number, characteristic, or code
- 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
HIPAA Expert Determination
Healthcare organizations are tasked with innovating and forming larger networks while managing the sensitive use of health data, which raises privacy concerns. To balance the societal benefits of large health datasets with individual privacy, the HIPAA Expert Determination method for de-identification is recommended. Our services help organizations of any size align their data with HIPAA standards, mitigating legal, financial, and reputational risks and enhancing healthcare services and outcomes.
APIs
Shaip APIs provide real-time, on-demand access to the records you need, allowing your teams to have fast and scalable access to de-identified and quality contextualized medical data, enabling them to complete their AI projects accurately on the first attempt.
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
Key Features of Data De-identification Services
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
Data anonymization through production, test, and development ensures data integrity across multiple geographies and systems.
100+ million de-identified data
A proven platform that facilitates effective HIPAA 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.
Enhanced Scalability
Anonymize data sets of any size at scale with a human-in-the-loop.
Availability & Delivery
High network up-time & on-time delivery of data, services & solutions.
De-identification Data in Action
PII/HI 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 Personal Identifiable Information (PII) Patient Health Information (PHI) from medical records, while complying to HIPAA regulations.
PII De-identification
Our PII deidentification capabilities include removal of sensitive information such as names, dates and age that may directly or indirectly connect an individual to their personal data.
PHI De-identification
Our PHI deidentification capabilities include removal of sensitive information such as MRN No., Date of Admission that may directly or indirectly connect an individual to their personal data. Its what patients deserve and HIPAA demands.
Data Extraction from Electronic Medical Records (EMRs)
Medical practitioners gain significant insight from Electronic Medical Records (EMRs) and physician clinical reports. Our experts can extract complex medical text that can be used in disease registries, clinical trials, and healthcare audits.
PDF De-identification With HIPAA & GDPR Compliance
Ensure HIPAA and GDPR compliance with our PDF De-identification service; your sensitive information is securely anonymized for privacy and legal integrity.
Use Case
Goal: PII Data Masking from financial documents including W2, Bank statement, 1099, 1040 etc.
Challenge: De-identification of 18 predefined HIPAA identifiers in 10,000+ financial documents.
Our Contribution: De-identified data (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.
Goal: Remove the PHI information from clinical documents.
Challenge: De-identification of 30,000+ clinical documents that can be used for developing AI models.
Our Contribution: De-identified PHIs from clinical documents adhering to HIPAA and Safe Harbor Guidelines
End Result: Client leveraged well-annotated and gold-standard dataset to solve their 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
Reasons to choose Shaip as your Data De-identification Partner
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
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
The patented platform offers benefits:
- Web-based end-to-end platform
- Impeccable Quality
- Faster TAT
- Seamless Delivery
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
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
The patented platform offers benefits:
- Web-based end-to-end platform
- Impeccable Quality
- Faster TAT
- Seamless Delivery
Recommended Resources
Blog
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Every time we hear a word or read a text, we have the natural ability to identify and categorize the word into people, place, location, values, and more. Humans can quickly recognize a word, categorize it and understand the context.
Solutions
The role of AI in healthcare: benefits, challenges & everything in between
We offer Medical Data annotation services that help organizations extract critical information in unstructured medical data, i.e., Physician notes, EHR admission/discharge summaries, pathology reports, etc., that help machines to identify the clinical entities present in a given text or image.
Solutions
Data provides a life-giving pulse to Healthcare AI
80% of all healthcare data is unstructured and inaccessible for further processing. This limits the quantity of usable data and also limits a healthcare organization’s decision-making capabilities.
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
Frequently Asked Questions (FAQ)
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.
