Blur

Blur is a standalone SaaS platform designed to de-identify patient information from clinical trials, ensuring privacy and regulatory compliance while maintaining high data usability. It employs dedicated role assignments, natural language processing, and risk simulations to uphold defensible privacy standards.

Developed in collaboration with pharmaceutical sponsors, Blur addresses the need for scalable anonymization and quantitative risk assessment. It offers a comprehensive suite of advanced de-identification tools accessible through a single, user-friendly interface. The platform is crucial for protecting patient privacy, ensuring data integrity, and meeting strict regulatory requirements, thereby preventing regulatory penalties and maintaining trust in clinical trials.

Traditional de-identification methods can be slow and error-prone due to complex regulations and large data volumes. Blur overcomes these limitations by providing automated, compliant solutions that enhance data usability, reduce risk, and save time.

Key Benefits of Blur

• Boosts Efficiency: Centralizes de-identification tasks, reducing time spent switching between tools.
• Saves Time: Automates tasks like detecting and redacting PHI, speeding up document preparation and regulatory submissions.
• Removes Risk: Uses automation and NLP for comprehensive de-identification, ensuring sensitive information protection with robust auditability.
• Improves Compliance: Compatible with global regulatory standards, ensuring trials meet privacy laws.
• Maintain Data Usability: Transforms data to maintain usability without revealing personal information.
• Simplified Collaboration: Role assignments simplify task distribution and accountability.

Core Features/Modules

Blur provides an advanced toolkit for privacy and compliance beyond simple de-identification.

• Blur Data: Efficiently removes or masks PHI, ensuring compliance with HIPAA, GDPR, and other regulations.
• Blur Risk: Uses simulation-based scoring to calculate re-identification risk, enabling safe anonymization decisions.
• Blur CSR: Anonymizes Clinical Study Reports using NLP, simplifying regulatory submissions.

Blur is designed for non-programmers, integrating seamlessly into existing workflows with minimal training. Its modules protect sensitive data and transform it into submission-ready reports, accelerating clinical trials and ensuring compliance.

Customer Success Stories

Instem helped a client overcome challenges with large data sets and legacy formats by using Blur to anonymize data efficiently, demonstrating its capability to handle complex de-identification projects.