Medical
de-identification

SECURE, COMPLIANT AND AI-READY HEALTHCARE SOLUTIONS

Medical AI is only as effective as the data behind it. iMerit transforms sensitive healthcare datasets into AI-ready assets by removing PHI while preserving clinical value.

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HOW iMERIT WORKS

De-identification is both a science and an art. Our workflows combine automation and human oversight to ensure accuracy, compliance, and explainability.

DATASET CURATION

Annotate and prepare secure datasets for training and model evaluation.

AUTOMATED PHI-DETECTION

Pre-trained NLP and imaging models scan text, images, and video to identify PHI.

HUMAN-IN-THE-LOOP VERIFICATION

Domain experts review outputs to ensure precision, clinical relevance, and regulatory compliance.

CUSTOM MODEL ENGINEERING

Build, deploy, and optimize de-identification models for your current and future datasets.

ONGOING MONITORING

Periodic or continuous testing and model refinement to protect against drift or validate new datasets.

EXPERT PHI REDACTION

Remove or mask sensitive patient identifiers across text, images, and video while preserving clinically relevant information.

“We often get requests for custom de-identification models, and every dataset is a little different. We build the model and review its outputs with a human-in-the-loop, making sure it’s accurate, compliant, and still useful for AI. It’s all about keeping the data safe while letting AI do its job.”

– Healthcare ML Engineer, iMerit

OUR DE-IDENTIFICATION SOLUTIONS

Medical
Imaging AI

From ultrasound to MRI and CT scans, iMerit de-identifies images and videos using deterministic and probabilistic tools to handle metadata and on-screen burn-in without compromising diagnostic features.

Electronic Health
Records (EHR)

Structured tables, free-text notes, lab reports, and metadata are sanitized to remove PHI while retaining meaningful clinical context for research and analytics. Our hybrid human-in-the-loop and model-assisted approach ensures accuracy, clinical relevance, and compliance.

Medical Video, Audio,
& Telehealth Data

Faces, burned-in text, voice modulation and metadata are securely redacted, making telehealth and research datasets safe for AI use. Self-hosted deployment options ensure that sensitive data never leaves your ecosystem.

Clinical Research &
Multicenter Studies

iMerit enables the secure sharing of datasets across institutions. PHI is removed or masked according to Safe Harbor or Expert Determination requirements while retaining research value through Tokenization.

Regulatory
Submissions

Prepare datasets for FDA, EMA, or other regulatory filings with fully traceable, audit-ready workflows. Every dataset is compliant, validated, and ready to support regulatory submissions.

Custom AI
Training Pipelines

Design, train, and deploy tailored de-identification models to scale your AI initiatives safely and efficiently. Rules-based and model-assisted approaches, like Philter for text data, provide accuracy and speed across large datasets.

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CUSTOM DE-IDENTIFICATION

MODEL ENGINEERING

Organizations increasingly need AI-powered pipelines rather than manual workflows. iMerit also designs and deploys custom models to:

Handle text, imaging, and video datasets. 
Automate PHI detection while preserving clinical value.
Provide audit-ready, compliance outputs for regulatory submissions.
Include human-In-the-loop oversight for continuous quality assurance.
Iteratively optimize models as datasets for regulations evolve.

WHY CHOOSE iMERIT

DOMAIN TRAINED EXPERTS

Board-certified physicians and specialists ensure PHI is removed while retaining clinical context.

ADVANCE TECHNOLOGY INTEGRATION

AI-assisted PHI detection plus human review guarantees high accuracy and audit-ready outputs.

SEAMLESS WORKFLOW SUPPORT

Ango Hub platform enables secure data import/export, monitoring, and analytics.

REGULATORY GRADE SECURITY

Compliance with HIPAA, GDPR, ISO 27001, SOC2, and FDA/EMA standards.

PROVEN IMPACT

Deliver model-ready datasets at scale to accelerate healthcare AI projects.

SCALABLE AND FUTURE-PROOF

Flexible workforce and custom model pipelines adapt to evolving data, modalities, and regulations.

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Case Studies

De-identifying Ultrasound Footage

A top healthcare provider partnered with iMerit to de-identify 20,000 ultrasound videos, removing all patient PII and PHI across all 18 HIPAA-protected identifiers with 99.95% accuracy. iMerit deployed Ango Hub automation combined with human-in-the-loop verification, achieving 40% faster turnaround compared to manual workflows.

The de-identified dataset enabled the provider to build and train AI models for disease diagnosis, treatment planning, and patient care. The engagement unlocked new revenue streams and the provider continues to partner with iMerit for ongoing radiology data de-identification and structuring.

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Trusted & secure

At iMerit, data security and privacy are built into every workflow. Our platform features strict access controls, granular data partitioning, and encryption for sensitive information, and complies with data privacy regulations and compliance standards. Detailed logging, monitoring, and audit trails ensure complete transparency and traceability, keeping every interaction with your data secure and accountable.

Featured

Content

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De-Identifying Medical Data: Challenges, Innovations, and What’s Next

Podcast

Can AI Be Regulated Without Stifling Innovation? Exploring the Future of AI Regulation

Insight

How iMerit Ensures Data Security

SCALE SMARTER!

Merit helps you unlock sensitive healthcare data safely, whether through expert-led workflows, hybrid AI + human pipelines, or fully custom de-identification models. Partner with us to ensure your datasets are compliant, AI-ready, and scalable.

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Medical de-identification