GenAI-Powered Drug Trial Data Extraction Framework

Automated Drug Trial Data Extraction
Solution GenAI-Powered Drug Trial Data Extraction Framework
Solution GenAI-Powered Drug Trial Data Extraction Framework
Industry Healthcare & Life Sciences
Region US
Technology NucliOS
Context
Extracting clinical trial data posed major challenges due to unstructured documents, manual effort, and data inconsistencies. Documents in PDFs, PPTs, and images contained inconsistent terminologies, making extraction inefficient and error-prone. High resource allocation and accuracy issues further impacted regulatory reporting. Additionally, scalability limitations restricted expansion across trials. With growing data complexity, a repeatable, automated framework was essential to improve efficiency. The firm sought an AI-driven solution to streamline processing, enhance accuracy, and integrate seamlessly with existing workflows, ensuring faster drug development, regulatory compliance, and operational scalability.
Problem statement

A leading pharmaceutical firm faced significant hurdles in extracting key clinical trial data due to inefficiencies in their existing processes. The manual effort involved in reviewing and extracting data was extensive, requiring high resource allocation and slowing down workflows. Additionally, the data complexity posed a major challenge, as clinical trial documents existed in multiple formats, including PDFs, PPTs, and images, often containing inconsistent terminologies and abbreviations that made extraction difficult.

Beyond these inefficiencies, the firm also struggled with accuracy issues, where extracted data lacked consistency and missing values impacted the overall analysis quality. Moreover, their process had scalability limitations, making it difficult to expand data extraction across multiple trials in a repeatable manner. To overcome these challenges, the firm needed an intelligent, scalable, and automated data extraction framework that could streamline operations, enhance accuracy, and enable seamless scalability.

Impact

  • 80% Reduction in Manual Effort: Automated workflows minimized time spent on extraction.
  • 3X Faster Data Processing: AI-driven methods cut turnaround from weeks to days.
  • Enhanced Data Accuracy: Improved consistency and reduced missing values.
  • Scalability Across Drug Trials: Enabled seamless expansion across therapies.
  • Regulatory Compliance Alignment: Ensured adherence to governance standards.

Access the Case Study to Learn More about This Partnership

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