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Estimated Life Sciences Analytics Market Growth in North America

$10.2 billion

Life Sciences Analytics Market Size in 2023


Compound Annual Growth Rate (CAGR) Market for Life Sciences Analytics



TensorIoT's AI-powered solution automated Eversana's clinical trial document redaction process, reducing costs and expediting the process while maintaining privacy compliance.


How can we automate the redaction process to reduce costs and expedite document processing while maintaining compliance with privacy regulations?


The automated redaction system significantly reduced the time and cost associated with manual redaction, demonstrating the potential to enhance efficiency and ensure the highest level of accuracy and compliance with privacy regulations.


Eversana, a premier pharmaceutical company, wanted to streamline their clinical trial document processing by automating the redaction of sensitive information. The manual redaction process, performed by physicians, was time-consuming, expensive, and prone to human error, necessitating a more efficient and accurate solution to ensure compliance with privacy regulations

The Challenge

The main challenge was to develop a system that could accurately identify and redact personally identifiable information (PII) and protected health information (PHI) from a large volume of clinical trial documents. The solution needed to handle various document formats, including scanned PDFs, and ensure zero false negatives to avoid potential legal issues.

The Solution

TensorIoT developed a comprehensive solution leveraging AWS services and advanced Large Language Models (LLMs). The system automatically classifies document pages, identifies sensitive information, and applies accurate redaction using generative AI models. Redacted pages are seamlessly reassembled into a final document, laying the foundation for a full-scale production solution to enhance efficiency and security in clinical trial document processing.

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