Delivers Technology for Automating Unstructured Clinical Data Extraction with Over 90% Accuracy
Axtria Inc., an AI-first data analytics innovator transforming life sciences, today announced the launch of LUCCID, short for LLM-based Unstructured Clinical Concept Identification. This groundbreaking GenAI-powered solution revolutionizes how clinical researchers extract and process unstructured data from electronic health record (EHR) systems.
“Our LUCCID solution identifies and extracts clinical concepts from unstructured sources and transform them into structured data for downstream trial systems,” said Luke Dunlap, Principal and Head of Clinical Solutions at Axtria. “Nearly a third of clinical trial budgets are allocated to data abstraction, source data validation, and data monitoring, so automating this process dramatically reduces the time and cost required to input, validate, and submit patient study data.”
Axtria’s LUCCID is intended to augment FHIR-based EHR-to-EDC systems that capture structured data from EHR systems. With 80% of clinical trial data coming from unstructured sources, LUCCID solves the critical bottleneck tied to the manual extraction and transformation of unstructured data for trials. The solution leverages clinically trained large language models with dedicated reasoning modules that are specifically grounded in biomedical knowledge, ensuring both speed and precision in data abstraction.
“Axtria LUCCID represents a fundamental shift in our approach to clinical data extraction, transforming what has traditionally been a slow, manual, and error-prone process into an automated workflow. Our research and findings will be published and presented at upcoming ISPOR and SCDM conferences this year,” added Dunlap.