Data Anonymization
Ensure privacy by turning sensitive production data into an anonymized, freely accessible dataset with LooPanda
- Unlock top-tier data for development, visualization, testing, analytics, or prototyping.
- Despite its potential, production data is closely protected due to privacy, regulations, licensing costs, and resource constraints.
- This restricts your ability to freely use or share production data as desired.
- Anonymization safeguards privacy by removing sensitive data from production datasets while preserving essential characteristics such as statistical distribution and relationships.
- Automated anonymization generates freely usable duplicates of production systems, eliminating the need for additional production licenses, and resulting in cost savings.
- Safely furnish realistic data without violating compliance standards.
Our Clients
Data De-identification and Anonymization Solutions
The significance of data de-identification and anonymization has grown exponentially in the age of big data and advanced analytics. Anonymization takes the concept further by creating irreversible transformations to the data, making it practically impossible to re-identify individuals. Techniques like tokenization, data masking and generalization are commonly used in anonymization to replace sensitive information with pseudonyms or broader categories, maintaining the utility of the data for analysis while minimizing the risk of privacy breaches. LooPanda Processes typically include the removal of direct identifiers, such as names and social security numbers, as well as the transformation of indirect identifiers, such as dates of birth or geographical locations.
Personal Identifiable information (PII)
PII Data De-identification, or PII Data Anonymization, is the method of removing any information that could reveal the identity of an individual. This includes Personally Identifiable Information (PII), which encompasses data capable of contacting, locating, or identifying a specific person.
Some of the identifiers or data elements specified in the HIPAA De-identification Standard that might disclose an individual’s identity include:
- Social Security Number
- Driver’s License or State ID Number
- Full Face Picture, Email, Phone Number
- Passport Number
- Alien Registration Number
- Financial Account Number
- Biometric Identifiers
Protected Health information (PHI)
PHI Data De-identification, also known as PHI Data Anonymization, involves the process of removing any information in a medical record that could identify an individual. This includes data created, used, or disclosed during medical services like diagnosis or treatment. Protected Health Information (PHI) refers to data that can identify a specific individual, encompassing details like contact, location, or personal identification.
Some examples of HIPAA identifiers or data elements that might 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
Who benefits more from anonymizationas a service ?
Anonymization as a service might be yourbest choice, if one or more of followingare true :
- You experience inconsistent or minimal need for anonymization services.
- If your organization lacks the resources to efficiently anonymize data internally on a large scale—such as budget constraints for essential software, hardware, cloud services, and the necessary staff; or
- You have chosen to delegate the anonymization process, a decision involving risk management.
Generated Synthetic Data
- Random numbers, dates or strings
- Random lookups for names, cities
- Basic domain rules (i.e. gender)
- Resembles original data as best as possible
- Tracks relationships among multiple systems
- Retain statisical distribution & reall values (bad data too !)
- Retains buisness logic in data
- Yet with all this, anonymization obscure sensitive information and relationships
Production Data
HIPPA EXPERT DETERMINATION
Healthcare organizations face the challenge of advancing and expanding their networks while handling the sensitive use of health data, which raises privacy concerns. To balance the societal benefits of extensive health datasets with individual privacy, we recommend employing the HIPAA Expert Determination method for de-identification. Our services assist organizations of all sizes in aligning their data with HIPAA standards, reducing legal, financial, and reputational risks, and improving healthcare services and outcomes.
Use Case
Goal: PII Data masking from financial documents including Passport, DL W2, bank statement, 1099, 140 etc.
Challenge: De-identification of 18 predefined HIPPA identifiers in 12,000 financial documents.
Our Contributions: De-identified data(PIIS) from 12,000+ financial documents on the client’s platform utilizing Onshore personnel.
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 25,000+ clinical documents that can be used for developing AI models.
Our Contributions: De-identified PHIs from clinical documents adhering to HIPAA and Safe Harbor Guidelines
Result: The client leveraged a well-annotated and gold-standard dataset to solve their use case.
WHY US ?
We wear our values on our sleeve and weave them into our data solutions. Choosing LooPanda means you get the benefit of our high standards enriching your AI intiatives.
Quality
As veteran industry professionals, we hold ourselves to the highest standards. See for yourself in our free data samples.
Flexibility
Human-machine interaction AI is a big fled, but we do it all. We’re confident we can deliver on your specific need.
Security & privacy
Never worry about security or privacy- we’re one of the first GDPR-compilant AI companies with ISO-27001 certification.
Ethical
Our philosophy is that if data is the lifeblood of AI, people are the lifeblood of data. We’re your ethical AI partner.
