Annotation Box
Annotation Box

How Our Data De-Identification Accelerates AI-Driven Diagnostics

“AnnotationBox’s speed, precision, and expertise, stating their solution was the catalyst that unlocked our project and paved the way for a major product launch.”

— Dr. Emily Chen, Head of Data Science, NextGen Health

Download Case Study
AI-driven healthcare diagnostics with robot hand and doctor using stethoscope.

Problem

NextGen Health’s AI project was stalled by a massive dataset of 500,000 patient records, which were unusable due to the presence of PHI/PII and compliance risks under HIPAA and GDPR regulations.

Solution

AnnotationBox implemented a multi-stage, “Human-in-the-Loop” de-identification workflow. This process combined AI for an initial scan with expert human review to handle complex, nuanced data. They used techniques like dynamic date shifting and pseudonymization to preserve data utility while ensuring 99.98% accuracy.

Result

The entire dataset was processed in just six weeks, an 80% reduction in time. This unblocked the data pipeline and allowed NextGen Health to launch its new diagnostic tool four months ahead of schedule.

Bottom Line Impact

$100,000+

Estimated cost savings by eliminating the need for an in-house team to process over 500,000 documents, a process that was completed in just six weeks.

Enabled

A four-month accelerated time-to-market for a new diagnostic tool, allowing NextGen Health to secure a critical first-mover advantage.

Benefits

Delivered a fully compliant, high-utility dataset that eliminated regulatory risks and freed the client’s team to focus on their core mission of advancing healthcare technology.

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