DMS, a BRMi company, is at the forefront of leveraging artificial intelligence (AI) to enhance public health research, particularly in our support of the National Cancer Institute (NCI). Our advancements in applying large language models (LLMs) to structure vast quantities of unstructured clinical trial reports are transforming biomedical research by creating novel datasets that drive scientific discovery.

Structuring Unstructured Data with LLMs

Clinical trial reports are often complex and unstructured, posing challenges in data extraction and organization. DMS employs LLMs to intelligently parse through these documents, identifying key clinical variables and structuring them into standardized datasets. We develop advanced prompt engineering strategies to optimize LLM outputs, ensuring efficient categorization and extraction of essential trial information.

Our approach includes training LLMs to:

  • Read and analyze multiple clinical documents simultaneously
  • Generate context-aware prompts to structure the data effectively
  • Aggregate responses from multiple sources while integrating human expertise for validation

By iterating and refining our AI-driven structuring process, we significantly enhance the accessibility and usability of clinical trial data for researchers.

AI-Assisted Curation and Review

To ensure accuracy and reliability, we incorporate an AI-assisted curation process where LLMs provide an initial round of text extraction review. These models highlight extracted content and its source within the original documents, allowing human experts to efficiently verify accuracy. This hybrid approach accelerates the review cycle while maintaining high data integrity standards.

Content Summarization and Inventory Management

Beyond structuring data, DMS harnesses LLMs to summarize content from existing clinical documents. Our AI models iterate through multiple reports, generating concise summaries that aid researchers in cataloging and understanding available data. This automation enables a more efficient inventory of clinical trial findings, ensuring critical insights are readily accessible.

Image Processing AI for Enhanced Data Extraction

A significant challenge in clinical research is the presence of handwritten and scanned PDF documents. DMS utilizes cutting-edge image processing AI to convert these non-machine-readable files into structured datasets. Our AI models detect and extract handwritten notes, marginalia, and other hard-to-access content, allowing for deeper and more comprehensive data analysis.

The DMS Value Proposition

DMS stands at the intersection of AI innovation and biomedical research. By leveraging LLMs and image processing AI, we are transforming the way clinical trial reports are structured and analyzed, accelerating discoveries in public health and cancer research. Our work enables the National Cancer Institute and the broader research community to access high-quality, structured datasets, ultimately driving advancements in patient care and medical breakthroughs.

With our expertise in AI-driven document processing, we continue to redefine what’s possible in biomedical research. Partner with DMS to harness the power of AI for structured, actionable insights in clinical data.