How AnnotationBox’s Data De-Identification Fueled a 75% Faster Path to Secondary Analysis for Oncology Research
— Dr. Alaina Reed, Head of Data Management, Innovate Clinical
Problem
Innovate Clinical, a CRO specializing in oncology, possessed a rich dataset of over 2 million documents from a completed clinical trial. This data was essential for secondary analysis to discover new treatment insights but was unusable due to vast amounts of embedded PHI, blocking research and posing significant HIPAA compliance risks.
Solution
AnnotationBox provided a fully managed data de-identification service, combining AI-powered detection with expert human-in-the-loop verification. We applied advanced techniques like pseudonymization and date shifting to remove all 18 HIPAA identifiers while preserving the dataset’s chronological integrity and analytical value for Innovate Clinical’s research.
Result
Innovate Clinical achieved a 75% reduction in data processing time, received a fully compliant and analysis-ready dataset, and eliminated the risk of human error from manual redaction. This enabled their data science team to immediately proceed with their critical secondary analysis, months ahead of schedule.