Data De-Identification Services - Image Editing Services

comprehensive de-identification services.

At Precise BPO Solution, we provide comprehensive data de-identification services to help healthcare providers, government agencies, businesses, and research organizations protect sensitive information while enabling the secure secondary use of data.

Our expert team removes personally identifiable information (PII) and protected health information (PHI) from structured and unstructured datasets, ensuring compliance with HIPAA, GDPR, and other international privacy regulations. By applying advanced de-identification techniques, we help organizations reduce privacy risks, maintain data integrity, and unlock valuable insights for research, policy assessment, and comparative studies.

Our team follows strict protocols to ensure accuracy, consistency, and regulatory compliance while preserving the utility of the dataset for downstream use.

Protecting patient and individual privacy

Protecting patient and individual privacy while retaining the analytical value of data

Enabling data sharing

Enabling data sharing across institutions, research bodies, and government agencies

Reducing regulatory risk

Reducing regulatory risk and ensuring compliance with privacy laws and frameworks

Supporting innovation

Supporting innovation in healthcare, AI, and public policy through responsible data use

Full-Face Images & Identifiable Features

We de-identify or mask full-face photographs and identifiable physical features to protect privacy, including:
● Facial images
● Jewelry
● Tattoos
● Surgical scars
● Unique clothing and accessories

This ensures individuals cannot be identified visually in medical images, clinical photographs, or research datasets.

Medical Records & Patient Details

We meticulously remove or anonymize sensitive details from medical records and related documents, such as:
● Patient names
● Dates of birth and death
● Addresses
● Phone numbers
● Email addresses
● Financial and bank details
● Medical record numbers and identifiers

Our team follows strict protocols to ensure accuracy, consistency, and regulatory compliance while preserving the utility of the dataset for downstream use.

Healthcare & Medical Research

for clinical studies, EHR sharing, and AI model development

Government & Public Health

for population health analysis, policy planning, and surveillance

Pharmaceutical & Life Sciences

for clinical trials, research collaboration, and regulatory submissions

AI & Machine Learning

for building privacy-safe datasets used in NLP, predictive modeling, and computer vision

Enterprises & Insurers

for secure data processing, analytics, and compliance reporting

Requirement Understanding
Understand client objectives, types of sensitive data (PHI, PII, financial info), and de-identification standards (HIPAA, GDPR, ISO).

Data Preprocessing
Clean, normalize, and structure the data to prepare it for de-identification.
Detect and segment personal identifiers like names, addresses, phone numbers, and other sensitive fields.

De-identification & Anonymization
Mask, redact, or pseudonymize sensitive information using automated tools and manual review where required.
Apply techniques like data masking, tokenization, or hashing to preserve utility while ensuring privacy.

Quality Check (QC)
Validate that all sensitive data is accurately de-identified.
Ensure compliance with client standards and regulatory requirements.

Client Review & Feedback
Share anonymized datasets for client validation.
Incorporate feedback to refine de-identification accuracy.

Final Delivery & Support
Deliver fully de-identified datasets in required formats.
Provide ongoing support for additional batches or updates.

Healthcare Data Privacy Compliance

Client Need: A healthcare provider needed to share patient records with a research organization without violating HIPAA regulations.

Solution: Precise BPO Solution de-identified patient data by masking names, addresses, medical IDs, and other PHI while retaining the clinical value of the records.

Result: The client was able to securely share data for research, ensuring compliance and protecting patient privacy.

Financial Data Anonymization for Analytics

Client Need: A banking institution wanted to use customer transaction data for AI-based analytics without exposing sensitive customer information.

Solution: We anonymized financial data by redacting account numbers, personal identifiers, and sensitive metadata, maintaining the integrity for analytics.

Result: The client could perform advanced analytics safely, uncovering insights without risking customer data breaches.

Employee Data Protection for HR Analytics

Client Need: A large corporation wanted to analyze employee performance and feedback data while maintaining confidentiality.

Solution: Precise BPO Solution de-identified employee names, contact details, and identifiable fields, enabling safe internal analysis.

Result: HR teams gained actionable insights while ensuring data privacy and regulatory compliance.

Domain Expertise

Experienced teams with deep knowledge of healthcare privacy standards.

Regulatory Compliance

Adherence to HIPAA, GDPR, and global data protection frameworks.

Accurate & Scalable

Proven workflows for handling large datasets with precision and efficiency.

Advanced Techniques

Entry and tracking of citation payments, due dates, and penalty calculations.

Secure Infrastructure

Data handled in secure, compliant environments to maintain confidentiality.

Tailored Solutions

Customizable de-identification pipelines to suit project scope and data types.

Protecting privacy doesn’t have to limit innovation. At Precise BPO Solution, we help organizations unlock the full potential of their data through accurate and compliant de-identification services, enabling responsible use for research, AI development, and public policy - without compromising security.

De-identification Service

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Why De-Identification Matters

The increasing use of healthcare and personal data in AI research, public health initiatives, and policy evaluation comes with significant privacy and security challenges. De-identification plays a critical role by: